Open Invited Tracks

A list of all Open Invited Tracks which are available for submission can be found here.

The topic of an Open Invited Track should fall within the scope of the congress and address specific, well defined issues. Open invited tracks have no upper limit on the number of papers but only those having gathered more than five accepted papers will be part of the final conference program. Contributions to open invited tracks can be either regular papers (6-8 pages length) or Extended abstracts (short paper of 2-4 pages length, they will not be published in IFAC PapersOnLine, they will only appear in the congress preprints). The organizers can contribute a survey paper (up to 12 pages) to the open invited track. Organizers are expected to solicit contributions. Additionally, the track proposal is advertised on the IFAC 2020 website leaving open the possibility for anyone to contribute.

Reviewing Process for Open Invited Tracks

Each paper submitted to an open invited track will be individually reviewed. The final open invited track proposals, taking all contributions into account will be also rated as a whole. At the discretion of the program committee, individual papers may be removed from a proposed open invited track and placed in the regular program, and appropriate contributed papers may be moved to the open invited track. Likewise, selected papers from a rejected open invited track may be placed into the regular program.

Presentation Formats for Open Invited Tracks

Open invited tracks can be organized in regular sessions or special interactive sessions. While the organizers can propose a specific format, final decisions are up to the program committee. Open invited sessions can be also split over multiple sessions or distributed between interactive and regular sessions.

For further questions feel free to the international program chairs Rolf Findeisen and Sandra Hirche  via  ipc@ifac2020.org and the invited sessions chair Christian Ebenbauer via  ce@ist.uni-stuttgart.de

Submit a Contribution to Open Invited Tracks

To submit a contribution to an open invited track follow the submission link and use the given track code. Please carefully check if your  contribution fits to the keywords, category and theme of the Open Invited Track. Contributions can be standard papers, surveys or extended abstracts. See the call for papersfor details about submission types and categories. Contributions to an Open Invited Track need not necessarily to be submitted to the same coordinating committee as reported in the table. Authors are free to choose the most appropriate Coordinating Committee and Technical Committee for their contribution.

Open invited tracks available for submission

2.2. Linear Control Systems 
TitleCode
Fractional order differentiation in modeling and control24y81
3.1. Computers for Control 
TitleCode
Enabling technologies and applications in Industry 4.046a85
3.3. Telematics: Control via Communication Networks 
TitleCode
Models and methods for the engineering of Cyber-Physical Systems with increasing autonomym9rrj
5.2. Manufacturing Modeling for Managment and Control 
TitleCode
Supply Chain Dynamics, Resilience and Controli8wka
System Identification for Manufacturing Control Applicationsydvn3
5.3. Enterprise Integration and Networking 
TitleCode
Interoperability in the Cyber-Physical Enterprise3ig8y
6.2. Mining, Mineral and Metal Processing 
TitleCode
Monitoring and Control for Mining, Minerals and Metalsi13br
6.4. Fault Detection, Supervision and Safety of Technical Process 
TitleCode
Industrial fault diagnosis/prognosis and fault tolerant control3s114
Intelligent Control of Systems under Degradatione3f98
7.2 Marine Systems 
TitleCode
Marine Robotics: a New Wave of Autonomous Systemsnk3vb
8.1. Control in Agriculture 
TitleCode
Sensing, control, automation and robotics for agriculturepe91p
8.4. Biosystems and Bioprocesses 
TitleCode
Trends in control theory at the interface of Systems & Synthetic Biologyuwi99
9.3. Smart Cities 
TitleCode
Control for Smart Citiesaiead
9.4. Control Education 
TitleCode
Benchmarks and Case Studies for Control Educationegi6v

 

Title: Data-Driven Process Monitoring and Control for Complex Industrial Systems
Track proposers: Shardt, Yuri; Brooks, Kevin; Yang, Xu; Torgashov, Andrei
Keywords: Fault detection and diagnosis; Statistical data analysis; Distributed control and estimation 
Abstract: With the rapid increase in the amount of information that can be stored and access coupled with the demands of Industry 4.0 and the Smart Factory, there has been an ever increasing need to develop methods that can handle and process the stored information to provide value. In an industrial setting, the value comes from the ability to understand the process and its current performance. Such performance is often measured using variables of different quality and sampling times. Furthermore, understanding the process in terms of faults and maintenance are also important aspects. Thus, there is a need to develop effective, robust, and general data-driven methods that can determine the performance and control a complex industrial plant. This invited session will provide the opportunity for both academic and industrial researchers to exchange their ideas and thoughts with the goals of finding common problems and solutions.
Code for submitting contributions: 2mycc
Category: 1.1. Modeling, Identification and Signal Processing
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Results on Nonlinear System Identification Benchmarks
Track proposers: Schoukens, Maarten; Noël, Jean-Philippe
Keywords: Nonlinear system identification 
Abstract: The objective of this invited track is to present novel data-driven modeling approaches for nonlinear systems. Solicited contributions should illustrate the developed methods and techniques on one or more nonlinear system datasets that are available on the nonlinearbenchmark.org platform. This open invited track aims, by promoting interaction through the benchmark setups, to develop a better understanding of and insight in state-of-the-art data-driven modeling approaches. Ten different datasets are available ranging from well-established benchmark challenges in the nonlinear system identification community (e.g. the Silverbox and the Wiener-Hammerstein datasets) to recent challenging datasets of real life systems (e.g. the F-16 Ground Vibration Test and the Cortical Response Evoked by Wrist Joint Manipulation datasets).
Code for submitting contributions: 27qyg
Category: 1.1. Modeling, Identification and Signal Processing
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Modelling, identification and control of quantum systems
Track proposers: Dong, Daoyi; Li, Jr-Shin; Wu, Re-bing
Keywords: Identification for control; Continuous time system estimation; Identifiability 
Abstract: The emerging quantum technology has been changing our life. The theory and methods for modelling, identification and control of quantum systems are fundamentally important for enabling the industrialization of quantum technologies including quantum computation, communication and metrology. This open invited track provides a forum for idea exchange in the active research area of modelling, identification and control of quantum systems, as well as their applications to practical quantum technologies.
Code for submitting contributions: na361
Category: 1.1. Modeling, Identification and Signal Processing
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Data-driven modeling and learning in dynamic networks
Track proposers: Van den Hof, Paul M.J.; Chiuso, Alessandro; Goncalves, Jorge M.
Keywords: Dynamic Networks; Machine learning; Closed loop identification 
Abstract: With the growing spatial complexity of engineering systems, e.g., in power networks, transportation networks and industrial production systems, also referred to as cyber-physical systems of systems, there is a strong need for effective modelling tools for dynamic networks, being considered as interconnected dynamic systems, whose spatial topology may change over time. A similar development can be observed in (bio)physical systems as e.g. in systems biology and neurosciences. Consequently there is a strong need for developing methods for data-driven modelling and learning in dynamic networks. Both identification methods and machine learning methods are currently being developed to provide data-driven tools for modeling and learning in systems that are structurally interconnected in dynamic networks. The modeling and learning aspects include estimation of dynamics as well as interconnection structure (topology) and cause-effect relationships. Moreover the selection of relevant signals, and the setup of appropriate experiments (excitations), are considered, as well as aspects of distributed computational resources, as e.g. in distributed estimation, modeling and control. This invited track intends to bring together researchers in academia and industries working on the emerging topic of data-driven modeling and learning in dynamic networks.
Code for submitting contributions: u9151
Category: 1.1. Modeling, Identification and Signal Processing
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Machine Learning for Monitoring and Control of Chemical and Biological Processes
Track proposers: Gopaluni, Bhushan; Tulsyan, Aditya; Chachuat, Benoit; Chiang, Leo; Huang, Biao; Lee, Jong Min
Keywords: Fault detection and diagnosis; Nonlinear system identification; Learning for control 
Abstract: It is widely believed that we are at the beginning of the fourth industrial revolution that is going to be powered by data. This revolution is expected to sweep a wide range of industries including Chemical and Biological industries such as Oil & Gas, Petrochemicals, Pharmaceuticals, Biotechnology, Pulp & Paper, and other manufacturing industries. With the advent of the Internet of Things, these industries are poised to generate large volumes of data. This presents an exciting opportunity to exploit data, computers, and algorithms not only to solve traditional problems surrounding monitoring, fault diagnosis and control but also to provide new insights. The massive scale of data and computing resources also open up novel research avenues for large-scale solutions. We are inviting articles on applications of modern machine learning tools - such as Support Vector Machines, Sparse Optimization Algorithms, Nonlinear Dimensionality Reduction and Classification Algorithms, Deep Learning and its variants, Reinforcement Learning - to monitoring and control. In particular, articles that illustrate novel ways of visualizing and processing large-scale data; highlight the heterogeneous and massive nature of industrial data (including time series, text, image/video data); explore novel modelling, monitoring, fault diagnosis and control paradigms are desired. Articles with real industrial applications and implementation or development of relevant advanced software tools are of particular interest.
Code for submitting contributions: bhir7
Category: 1.1. Modeling, Identification and Signal Processing
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Iterative Learning Control and Repetitive Control
Track proposers: Oomen, Tom; Chu, Bing; Barton, Kira; Tan, Ying
Keywords: Iterative learning control; Autotuning; Iterative modelling and control design 
Abstract: Iterative Learning Control (ILC) and Repetitive Control enable improved tracking performance by updating the control input using measured signals from previous tasks. Several frameworks have been developed, and these can be applied to a wide range of engineering systems that operate repeatedly on the same trajectory, especially in manufacturing, robotics, data storage systems, process control, etc. The aim of this session is to bring together researchers working on different frameworks, addressing theoretical advances and/or new and nontraditional application areas.
Code for submitting contributions: 8a867
Category: 1.2 Adaptive and Learning Systems
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Active Disturbance Rejection Control:Data-driven Mechanisms, Analysis and Engineering Practice
Track proposers: Xue, Wenchao; Gao, Zhiqiang; Tan, Ying; Hou, Zhongsheng; Sira-Ramirez, Hebertt
Keywords: Nonlinear adaptive control; Adaptive control -applications; Iterative learning control 
Abstract: The key idea of ADRC is an effective data driven mechanism through the extended state observer (ESO), to estimate unknown unmodelled uncertainties and disturbances.As ADRC in its nature is model-guided data-driven method, the potential of ADRC has been gradually discovered in industry, leading to many successful applications such as manufacturing, process control, robotic systems, and energy systems. Driven by the companies such as Texas Instruments, FreeScale, Danfoss, etc, ADRC has been recognized as an effective control method. Hence the research on ESO/ADRC based data-driven control and its application have world-wide interest.The aim of this open invited session includes: i) Bring together papers of ESO/ADRC with different theoretical analysis tools (time-domain, frequency-domain, etc.) and different design principles (analytical, data-driven, etc.); ii) Address new theoretical challenging in the area of ESO and ADRC including the data-driven mechanisms performance, design flexibility, design guideline, and removing some restrictive assumptions; iii) Present novel parameter tuning guidelines as well as new emerging and nontraditional applications.
Code for submitting contributions: dp7r3
Category: 1.2. Adaptive and Learning Systems
Main Theme: 1. Systems and Signals

Title: History of Adaptive Control
Track proposers: Fradkov, Alexander L.; Giri, Fouad
Keywords: Model reference adaptive control; Nonlinear adaptive control; Adaptive control of multi-agent systems 
Abstract: In recent decades, the world has witnessed the rapid growth of Science and Technology. All branches of Science and Technology have known deep changes resulting in new areas growing separately. The area of Adaptive Control, which is an important part of the Control science and technology, has itself numerous branches. Along with the intensive theoretical research activity, that led to different adaptive control approaches, each one being characterized by its own methods, concepts and results, there has been a burst of activities devoted to the application of the methods to real-life systems and their transformation to technological tools. Dozens of applications have been reported on in various industrial and socioeconomic sectors. We think it is highly beneficial and timely to provide a forum for presentations and discussions relevant to the History of Adaptive Control. The aim is to archive the main milestones and highlights in the development of this important scientific area. We believe the IFAC World Congress is the right place to hold such a forum and invite people to submit papers on adaptive control with historical flavor. The contributions may be focused on: - describing the temporal development of a given theoretical approach of adaptive control - describing the chronological penetration of adaptive control in a given application domain - describing the geographical developement of adaptive control emphasizing the specificity of scientific schools, countries and continents. More general surveys combining both theoretical and practical aspects, temporal and geographical considérations are also welcome. Pictures and video/audio records would be a good addition to the historical data.
Code for submitting contributions: hw4hv
Category: 1.2. Adaptive and Learning Systems
Main Theme: 1. Systems and Signals

Title: Supervisory Control Theory and Reactive Synthesis for Cyber Phsical System Design
Track proposers: Schmuck, Anne-Kathrin; Cai, Kai
Keywords: Supervisory control and automata; Event-based control; Discrete event modeling and simulation 
Abstract: Supervisory Control Theory (SCT) and Reactive Synthesis (RS) are two techniques for the automatic design of a digital system from a given specification which are recently applied to Cyber Physical System (CPS) design. Both methods mostly evolved independently in two distinct research fields, namely control theory and computer science. It is the main purpose of this invited session to enhance the mutual understanding of benefits and limitations of SCT and RS methods in the context of CPS design and to motivate collaborative efforts within their intersection.
Code for submitting contributions: 853th
Category: 1.3. Discrete Event and Hybrid Systems
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Formal Methods for Hybrid Systems
Track proposers: Liu, Jun; Prabhakar, Pavithra; Sanfelice, Ricardo
Keywords: Reachability analysis, verification and abstraction of hybrid systems; Discrete event modeling and simulation; Supervisory control and automata 
Abstract: Hybrid system is a fascinating area where discrete computation meets continuous dynamics. It provides a powerful paradigm for modelling, analysis, and control of real-world systems that feature cyber and physical interactions. Formal methods are rigorous computational techniques that can be used for analysis and design of hybrid control systems and have found applications in diverse areas such as robotics, automotive, space, and manufacturing systems. This open invited track aims to bring together researchers in the areas of formal methods and hybrid systems to exchange ideas and discuss recent developments in formal methods, including validated computational techniques, for analysis and control of hybrid systems, broadly defined. It also welcomes presentations of software tools, case studies, and applications that help illustrate the usage of formal methods for hybrid systems.
Code for submitting contributions: mxqa6
Category: 1.3. Discrete Event and Hybrid Systems
Main Theme: 1. Systems and Signals

Title: Control for Next Generation Wireless Networks
Track proposers: Baumann, Dominik; Gatsis, Konstantinos; Johansson, Karl H.; Trimpe, Sebastian
Keywords: Control over networks; Control under communication constraints; Networked embedded control systems 
Abstract: Next generation wireless networks aim to support critical physical infrastructure, including industrial automation, connected autonomous vehicles, smart grids, and smart cities. As these networking interfaces interact with the physical world, new fundamental research questions arise. In the proposed invited session, we are soliciting contributions showcasing how the control and autonomous systems community addresses these challenges from various points of view including (i) resource management and control for next generation wireless architectures, (ii) designs enabling low latency and high reliability applications, and (iii) data-driven designs for connected autonomous systems.
Code for submitting contributions: x83d8
Category: 1.5. Networked Systems
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Event-Triggered and Self-Triggered Control
Track proposers: Heemels, Maurice; Johansson, Karl H.; Nowzari, Cameron
Keywords: Control under communication constraints; Control under computation constraints; Event-based control 
Abstract: The area of event-triggered and self-triggered control has been steadily gaining attention over the last two decades. Given the rapid rise of research and development related to networked cyber-physical systems, new challenges arise in the context of systems with limited communication/computation bandwidth and/or limited energy resources in general. In fact, event-triggered and self-triggered control are one of the few control strategies that can truly balance the usage of computational/communication resources on the one hand and control performance on the other. To enable the wide exploitation of these aperiodic control concepts in applications, there is a strong need for a rigorous system theory and proof-of-concepts of the main ideas in experimental and real-life applications. In support of this, we propose an Open Invited Track in this area to promote discussion and exchanges of ideas around this topic.
Code for submitting contributions: i7hu2
Category: 1.5. Networked Systems
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Social Systems: Dynamics, Games and Control on Networks
Track proposers: Como, Giacomo; Frasca, Paolo
Keywords: Complex system management; Multi-agent systems; Control of networks 
Abstract: The last decade has seen our community becoming more and more interested in social dynamics. This interest has lead to various streams of research, among which we distinguish three main one. Firstly, techniques and idea from systems theory have been applied to models of social dynamics that originated from outside the community. This effort has allowed to deliver convergence and stability results for several nonlinear models, such as those that postulate bounded confidence in opinion dynamics. Secondly, control theorists have proposed their own models, either out of mathematical interest or to include some relevant social effects. The latter activity has in some cases seen fruitful collaborations with social scientists. At the same time, similar research lines have been developed in contiguous fields, such as computer science and economics, often by using game theory tools. Thirdly, some researchers have attempted to apply control methods to the relevant dynamics, at least in an academic context. Our community has by now cumulated a significant knowledge in the field. At the same time, the explosion of Internet-based social networking services has enhanced both the opportunity and the need for a rigorous analysis of the social dynamics, which can now be supported by large data streams. We believe that it is time for our community to make a thorough reflection about the tools that we can provide for management the management of (online) social networks, including tools for identification, estimation, and control. The urgent need for effective tools is now been recognised also by the general public and the policymakers, as shown by the raging debates on fake news and online manipulation that we have witnessed since the 2016 US elections. The purpose of this Open Invited Track will be threefold: (i) collecting contributions in this thematic area to ensure that its audience reaches the necessary critical mass; (ii) stimulate contributions that tackle the main challenges that we have briefly highlighted, and (iii) provide a forum to reflect about directions for this research.
Code for submitting contributions: 45nim
Category: 1.5. Networked Systems
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Distributed Optimization for Learning and Control in Smart Networks
Track proposers: Notarstefano, Giuseppe; Notarnicola, Ivano; Farina, Francesco
Keywords: Distributed optimisation for large-scale systems; Distributed control and estimation; Multi-agent systems 
Abstract: Optimization problems arise as building blocks in several applications of modern cyber-physical network systems. These problems are typically large-scale so that classical optimization algorithms are either inapplicable or do not scale well for problem instances of such a large size. Moreover, in many interesting applications, computing processors have typically a partial knowledge of the problem (e.g. a portion of the cost function or a subset of the constraints) and have to cooperate to compute a global solution of the whole problem. The objective of this open invited track is to bring together leading researchers working in distributed and large-scale optimization and addressing the main challenges arising in this area. The open invited track focuses on novel algorithmic schemes and analysis tools to enhance the current state of the art in this area and on the application of these methodologies in learning and control problems arising in smart networks. As for theoretical contributions, novel methodologies are sought addressing main challenges arising in distributed optimization both in terms of network communication and in terms of problem set-up, including novel contributions in addressing the considered problems via system theoretic analysis tools. As for the applications, proposed contributions will show how distributed optimization algorithms can be applied to relevant learning and control problems in smart networks, as, e.g., smart grids and robotic networks.
Code for submitting contributions: xdp77
Category: 1.5. Networked Systems
Main Theme: 1. Systems and Signals
Detailed information: pdf

Title: Control for Computing Systems
Track proposers: Kerrigan, Eric C.; Rutten, Eric
Keywords: Decentralized control; Process control; Industrial applications of optimal control 
Abstract: Computing systems, large (data centers in the Cloud or HPC for scientific applications) or small (embedded architectures), have a growing need to be dynamically flexible and reconfigurable w.r.t. their environments and workloads, and to be automated with control loops in order to be efficient, safe and responsive. Whereas computing for control is a well-established domain, the converse control for computing systems is a relatively novel approach, explored only in recent years. The aim of this open invited track is to propose a multi-disciplinary gathering around computing systems as a new application area for control theory, with challenges in the modeling of these unfamiliar systems, and identification of the relevant control techniques for problems where automation has not been introduced yet.
Code for submitting contributions: 4w968
Category: 2.1. Control Design
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Non-asymptotic estimation: algorithms and applications
Track proposers: Laleg, Taous-Meriem; Reger, Johann; Jouffroy, Jerome; Liu, Da-Yan; Zemouche, Ali
Keywords: Observer design; Observers for linear systems; Nonlinear observers and filter design 
Abstract: This open invited track is proposed for inclusion in the IFAC world congress 2020 to be held in Berlin, Germany, July 12-17, 2020. This open invited track invites contributions to non-asymptotic estimation algorithms and their applications, aims at presenting recent advances in this field and gives a forum to discuss tentative future directions.
Code for submitting contributions: 8ua45
Category: 2.1. Control Design
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Fractional order differentiation in modeling and control
Track proposers: Victor, Stephane; Melchior, Pierre
Keywords: Fractional systems; Infinite-dimensional systems; Robust control (linear case) 
Abstract: Fractional (or non-integer) differentiation has played a very important role in various fields notably in signal and image processing and control theory. In these last fields, important considerations such as modeling, system identification, stability, controllability, observability and robustness are now linked to long-range dependence phenomena. It is expected that such an invited session will attract new researchers regarding the growing research and developments on fractional calculus in the areas of mathematics, physics, engineering and particularly in automatic control. This invited session is devoted to research topics in the field of fractional calculus in order to present and to discuss the latest results in fractional dynamical systems and signals domain: Signal analysis and filtering with fractional tools (restoration, reconstruction, analysis of fractal noises) ; Fractional modeling especially of (but not limited to) thermal systems, electrical systems (motors, transformers, skin effect, etc.), dielectric materials, electrochemical systems (batteries, ultracapacitors, fuel cells, etc.), mechanical systems (vibration insulation, viscoelastic materials, etc.), biological systems (muscles, lungs, etc.); Fractional system identification (linear, nonlinear, multivariable methods, etc.); Implementation aspects (fractional controllers and filters implementation, etc.); Systems analysis (stability, observability, controllability, etc.); Control (Fractional PID, CRONE, etc.); Diagnosis of fractional systems; Fractal structures, porous materials, ...;Applications (mechatronics, automotive, medical/biological systems,...)
Code for submitting contributions: 24y81
Category: 2.2. Linear Control Systems 
Main Theme: 2. Design Methods 
Detailed information: pdf

Title: Advances in Nonlinear Observers
Track proposers: Astolfi, Daniele; Andrieu, Vincent; Marconi, Lorenzo
Keywords: Observer design; Nonlinear observers and filter design; Application of nonlinear analysis and design 
Abstract: Observation problems are fundamental for control, diagnosis and systems operation. Despite of important advances in the last 60 years the observability analysis and the design of nonlinear observers for linear or nonlinear systems remain challenging tasks. The objective of this open invited track is to present recent results on the design of observers for nonlinear systems, for estimation and control purposes and their applications.
Code for submitting contributions: 377h1
Category: 2.3. Non-linear Control Systems 
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Machine Learning and Model Predictive Control
Track proposers: Lucia, Sergio; Mesbah, Ali
Keywords: Nonlinear predictive control; Data-based control 
Abstract: The availability of large amounts of real-time data as well as the increasing complexity of dynamic systems that require safe control schemes on embedded systems pose new challenges for the development of Model Predictive Control (MPC) methods. While the direct use of machine learning can help alleviate some of these challenges, the development of synergetic methods that take advantage of the strengths of MPC and modern data-based schemes can provide important research contributions for both communities. We expect that this Open Invited Track will serve as a forum to encourage and discuss new developments at the boundary between model predictive control and machine learning. The topics of this Open Invited Track include but are not limited to: Approximation of complex MPC laws using machine learning; Machine learning for adaptive MPC; MPC based on machine learning models; and Reinforcement learning and MPC. We welcome novel theoretical contributions, practical implementations and tools, as well as challenging case studies.
Code for submitting contributions: a1d55
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Large-scale and infinite dimensional dynamical model approximation
Track proposers: Poussot-Vassal, Charles; Grundel, Sara
Keywords: Model reduction; Linear systems; Infinite-dimensional systems 
Abstract: The purpose of this Open Invited Track is to present theoretical and methodological advances in dynamical model approximation as well as an illustration how crucial the approximation phase is for solving a broad class of control and optimization-oriented engineering problems.
Code for submitting contributions: 444u3
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Finite-time control and estimation of uncertain systems
Track proposers: Efimov, Denis; Fridman, Leonid M.
Keywords: Lyapunov methods; Stability of nonlinear systems; Sliding mode control 
Abstract: The aim of this open invited track is to present recent advances on analysis and design of the control and estimation algorithms with non-asymptotic convergence rates such as finite-, fixed- or prescribed-time one. Modern interest in these advanced types of stability is originated by emerging applications (cyber-physical systems, autonomous transportation, robotics), which demand new performances regarding convergence rates, robustness and scalability. Conventional (linear) control and estimation methods may fail to meet these requirements, then highly nonlinear control and estimation tools become preferable satisfying new strict targets and being at the forefront of this track. The covered subjects include, but not limited to: robust finite-, fixed- and prescribed-time control and estimation of plants described by ordinary differential equation, time-delay systems and partial differential equations; sliding mode control and estimation; homogeneous dynamical systems; evaluation of convergence time; discretization methods for finite-time converging systems and saturation; design of gains minimizing chattering and energy consumption in both state space and frequency domains; finite-time identification and fault detection algorithms; application of these approaches.
Code for submitting contributions: ven63
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Theory and Applications of Extremum Seeking Control
Track proposers: Grushkovskaya, Victoria; Ebenbauer, Christian; Guay, Martin; Zuyev, Alexander
Keywords: Stability of nonlinear systems; Analytic design; Adaptive control 
Abstract: This open invited track aims at bringing together mathematicians and engineers working in the field of extremum seeking control. Extremum seeking control is a control methodology to optimize the performance of a dynamical system in the sense of maximizing or minimizing its steady-state map (or the corresponding cost function). Unlike classical control and optimization problems, only a limited knowledge about the cost function and system dynamics is assumed in extremum seeking problems. In particular, an analytical expression of the cost function may be partially or completely unknown, and the optimal operating point is unknown or may even change over time. Over the last couple of decades, the interest to extremum seeking problems has increased drastically because of challenging mathematical features and numerous real-world applications. Despite significant fundamental results obtained in extremum seeking theory, there are still many open questions in this area. This track offers a framework for presenting novel contributions both on theoretical foundations and engineering applications of extremum seeking control. We also expect that the session will result in fruitful discussions between participants from different research centers and provide a platform for exchanging tools, methods, and ideas.
Code for submitting contributions: 9cn64
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods 
Detailed information: pdf

Title: Control of Nonlinear Stochastic Systems
Track proposers: Scarciotti, Giordano; Mellone, Alberto
Keywords: Robust control; Stochastic optimal control problems 
Abstract: This open invited track is intended to bring together recent developments in the field of stochastic control systems. The goal is to allow active researchers in the area of stochastic control to showcase new advances in terms of both theoretical contributions and applications. Contributions are invited in, but not limited to, the following areas: Control of stochastic differential/difference equations; Control of stochastic hybrid systems; Stochastic optimal control; Modelling and analysis of stochastic systems.
Code for submitting contributions: k2t33
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Estimation and Observer Design Methods in Nonlinear Systems
Track proposers: N'Doye, Ibrahima; Laleg, Taous-Meriem; Rajamani, Rajesh; ZEMOUCHE, Ali
Keywords: Nonlinear observers and filter design; Robust estimation; Observer design 
Abstract: The goal of this session is to present recent advances on the design of estimation algorithms and state observers for nonlinear systems and their application to output feedback control and fault diagnosis. The development of theoretical methods, as well as real-world applications, are considered.
Code for submitting contributions: kqr94
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: On nonlinear infinite dimensional systems
Track proposers: Marx, Swann; Wirth, Fabian; Prieur, Christophe
Keywords: Stability of nonlinear systems; semigroup and operator theory; backstepping control of distributed parameter systems 
Abstract: The goal of this open invited track is to collect in a single track all works dealing with nonlinearities in infinite-dimensional systems, for both control theory and its applications. The topics of this open invited track include the modeling, analysis, control, and observer/estimator design for systems governed by infinite dimensional systems with nonlinear input or output laws. Control techniques include nonlinear semigroup theory, Lyapunov approaches, backstepping techniques, passivity, numerical simulations, model reduction, and scientific computing.
Code for submitting contributions: vyx9q
Category: 2.3. Non-Linear Control Systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Reference Prefiltering for Precision Motion control
Track proposers: Singh, Tarunraj; Vyhlidal, Tomas
Keywords: Optimal control theory; Probabilistic robustness; Parametric optimization 
Abstract: Input Shaping/Time-Delay Filtering is now an established approach for shaping reference inputs to minimize residual vibrations for rest-to-rest maneuvers, velocity tracking controllers, and to minimize excitation of high frequency unmodelled modes. At the core of reference shaping approaches has been the encapsulation of robustness to model parameter uncertainties. Organizers of this invited track will solicit contributions that generate novel theoretical results and/or illustrate applications of the reference shaping approaches and serve to provide a focused forum for the dissemination of latest results.
Code for submitting contributions: 7nt23
Category: 2.4. Optimal Control
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Numerical Methods for Predictive Control
Track proposers: McInerney, Ian; Faqir, Omar; Nie, Yuanbo; Kerrigan, Eric C.
Keywords: Numerical methods for optimal control; Nonlinear predictive control; Real-time optimal control 
Abstract: Complex cyber-physical systems require stringent operational and safety guarantees to be satisfied by real-time controllers. With the growth of such systems, Model Predictive Control (MPC) has received increasing interest among control practitioners. MPC schemes must solve an optimization problem at every sampling instance. In the past, the computational demand of solving these problems in a timely manner limited the application of MPC to slow or simple systems. To overcome this, and allow for MPC to be implemented on complex systems, many researchers have focused on optimizing and tailoring the optimization algorithms at the heart of MPC. This open invited track will welcome contributions on all facets of the numerical algorithms for predictive control, including but not limited to problem formulation, structure exploitation, computational complexity reduction and certification.
Code for submitting contributions: ew528
Category: 2.4. Optimal Control
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Uncertainty Quantification in Control and Optimization – Tools, Methods and Applications
Track proposers: Faulwasser, Timm; Streif, Stefan; Schenkendorf, Rene; Gerster, Stephan
Keywords: Uncertainty descriptions; Robustness analysis; Control problems under conflict and/or uncertainties 
Abstract: In many applications domains, such as process systems, energy conversion and energy networks, available system and process models are inherently uncertain and subject to stochastic process disturbances. Hence, recently there have been manifold efforts to account explicitly for uncertainties both in optimizing process performance and in designing control strategies. Concurrently, in the area of applied mathematics, Uncertainty Quantification (UQ) techniques have seen significant progress in terms of method development and in terms of available computational tools and methods. UQ concepts are often considered in control and automation in terms of stochastic MPC, stochastic optimization. While applications in process control (e.g. of chemical engineering processes) have been at the forefront, recent efforts have considered UQ also for energy conversion systems and networks. The proposed track specifically aims to bring together researchers working on different UQ methods, tools and applications. This way, it shall provide a platform for presenting theoretical and application-oriented contributions, and it shall foster discussions on new ideas regarding the development of tailored UQ schemes for uncertain process systems and beyond.
Code for submitting contributions: 5h5hh
Category: 2.5. Robust Control
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Active Flow Control and applications: from model-based to machine learning strategies
Track proposers: Courtial, Estelle; Morrison, Jonathan F; Cordier, Laurent
Keywords: control of fluid flows and fluids-structures interactions; control and estimation of wave equations and systems of elasticity; Nonlinear observers and filter design 
Abstract: The open invited track on Active flow control and applications: from model-based to machine learning strategies aims at presenting recent innovative results for wake-flow control and gathering two large scientific communities spanning fluid mechanics (physics and applied mathematics) and control theory (nonlinear control, observers, and machine learning). In the context of sustainable development and energy transition, wake-flow control is a major milestone for reducing drag in the transportation industry. For instance, increasing the lift-to-drag ratio in aeronautics or decreasing drag for road vehicles is becoming a priority for the industry. Active flow control appears as an appealing approach but it also faces scientific challenges such as the design of reliable and real-time tractable models. The difficulty is associated with both the complexity of the Navier-Stokes equations (strong nonlinearities, high dimensionality and time-delays) and with the limitations of the available control techniques for distributed systems. As a result, flow control has received interest from scientific communities ranging from fluid mechanics, physics, applied mathematics, control theory (nonlinear control, observers) and computer science (machine learning). The track will therefore cover all topics related to the modeling, identification, feedback control, state observation and optimization for flow control applications.
Code for submitting contributions: u4515
Category: 2.6 Distributed parameter systems
Main Theme: 2. Design Methods
Detailed information: pdf

Title: Enabling technologies and applications in Industry 4.0
Track proposers: Crespo, Alfons; de la Puente, Juan Antonio; Marcos, Marga; Simo, Jose
Keywords: Embedded computer control systems and applications; Real-time algorithms, scheduling, and programming; Internet of things 
Abstract: The new transformation of the industry to gain competitiveness and meet the challenges of the future, known as Industry 4.0, requires the integration of a set of enabling technologies to achieve high levels of efficiency and productivity. Industrial Internet of Things (IIoT), Cyberphysical Systems, Cloud Computing Ecosystems, Robotic Systems, Horizontal and Vertical Integration, etc., are some of the technologies that in conjunction with others (Big Data, Augmented Reality, Deep Learning, Digital Twin, etc.) defined a set of new technological challenges that are essential to cope with technological change in industry. This open invited track provides an opportunity to present and discuss research and development works in the topics: - Hardware-Software architectures for Industry 4.0 - Cyberphysical systems (CPS) - Robotic systems - Cloud computing ecosystems - Middleware integration and communication. Horizontal and Vertical integration. - AI in Industry 4.0 - Digital Twin - Big Data techniques - Security in industrial environments - Industrial applications based in emerging technologies
Code for submitting contributions: 46a85
Category: 3.1. Computers for Control
Main Theme: 3. Computers, Cognition and Communication
Detailed information: pdf

Title: Recent advances in fuzzy control: theory and applications
Track proposers: Lendek, Zsofia; Bernal, Miguel; Guelton, Kevin
Keywords: Fuzzy and neural systems relevant to control and identification; Robust neural and fuzzy control; Adaptive neural and fuzzy control 
Abstract: This open invited track is sponsored by the IFAC TC 3.2 Computational Intelligence in Control and supported by the IEEE CIS Task Force on Fuzzy Control Theory and Application. The aim of this open invited track is to present state-of-the-art results in the area of theory and applications of fuzzy-model-based control design and analysis at large, and to get together well-known and potential researchers in this area. Fuzzy-model-based control provides a systematic and efficient approach to the analysis and control of nonlinear systems. It has been employed to deal with a wide range of nonlinear control systems such as continuous-time, discrete-time, hybrid, sampled-data, time-delay, switching, adaptive control systems and so on. However, there is still room for improvement of the existing results in order to propose new techniques for control. This open invited track focuses mainly on the fuzzy-model-based control systems and analysis with emphasis both on theory and applications. Important problems and difficulties in fuzzy-model-based control systems will be presented, solutions will be provided and methodologies will be proposed to handle nonlinear systems using fuzzy-model-based control approaches. The session will cover classical Takagi-Sugeno, Type 2 and polynomial fuzzy models for stability, control and estimation, representing an important field of the TC 3.2, Computational Intelligence in Control. The main topics of this open invited track include, but are not limited to: Takagi-Sugeno fuzzy control systems, Uncertain fuzzy systems, Type 2 fuzzy systems, Fuzzy hybrid systems, Fuzzy switching systems, Fuzzy time-delay systems, Fuzzy stochastic systems, Fuzzy polynomial systems, Stability analysis of fuzzy systems, Nonlinear control design based on fuzzy systems, Predictive control, Robust control, Sampled-data control, Filtering.
Code for submitting contributions: sf983
Category: 3.2. Computational Intelligence in Control
Main Theme: 3. Computers, Cognition and Communication
Detailed information: pdf

Title: Reinforcement learning and nonlinear optimal control
Track proposers: Busoniu, Lucian; Babuska, Robert
Keywords: Reinforcement learning control 
Abstract: Reinforcement learning (RL) offers a principled way to control nonlinear stochastic systems with partly or even fully unknown dynamics, modeled as Markov decision processes. The primary objective is to optimize a cumulative performance index. Over the last decade, the integration of deep neural networks and deep learning techniques into RL has led to the highly successful field of deep RL, with impressive applications in robotics, artificial intelligence and game playing, automotive systems, etc. Alongside deep RL, more classical approaches to solve Markov decision processes keep advancing, such as those from optimal control, adaptive dynamic programming (ADP), policy search, etc. This open track provides a forum of interaction and an outlet for all areas of RL for control, from deep RL to more classical optimal control techniques. We welcome both algorithmic and analytical contributions, as well as applications in engineering, artificial intelligence, operations research, economics, medicine, and other relevant fields. We moreover invite surveys by established researchers in the field. We are especially interested in the promising interactions between artificial-intelligence and control-theoretic approaches to RL, with the open issues they entail, including stability and robustness of RL techniques. Synergy between artificial intelligence and control theory in RL can lead to major breakthroughs such as computationally efficient algorithms with strong, simultaneous performance and stability guarantees. Topics of interest include, but are not limited to: RL and nonlinear optimal control methods , Deep RL, Adaptive dynamic programming, Performance and complexity analysis of RL and nonlinear optimal control, Stability analysis of RL and nonlinear optimal control, Multiagent and distributed RL, Model-based and model-learning techniques, Hybrid RL and ADP, Policy search methods, Partially observable Markov decision processes, Exploration techniques, Applications of RL and ADP, Other novel perspectives, e.g. neuroscience-inspired methods
Code for submitting contributions: 9t2ut
Category: 3.2. Computational Intelligence in Control
Main Theme: 3. Computers, Cognition and Communication
Detailed information: pdf

Title: Industry 4.0 applications of Machine Learning and Intelligent Control
Track proposers: McLoone, Seán Francis; Susto, Gian Antonio
Keywords: Knowledge-based control; Fuzzy and neural systems relevant to control and identification; Evolutionary algorithms in control and identification 
Abstract: Machine Learning and Intelligent Control are beginning to have a huge impact in many areas of our society and are at the heart of the envisaged transformation of industry popularly referred to as Industry 4.0. By learning from data, these technologies can deliver enhanced decision making, more flexible and efficient automation systems, and optimally performing production processes. However, many challenges remain that are limiting their wide scale adoption in industry - from dealing with data quality and volume issues to achieving scalable and robust solutions. This Open Track invites contributions that address these challenges and showcase the latest real-world Industry 4.0 applications, and enabling algorithmic advancements, of Machine Learning and Intelligent Control.
Code for submitting contributions: 6ju15
Category: 3.2. Computational Intelligence in Control
Main Theme: 3. Computers, Cognition and Communication
Detailed information: pdf

Title: Intelligent Control and Automation
Track proposers: Santos, Matilde; Irigoyen, Eloy; Calvo Rolle, Jose Luis
Keywords: Knowledge-based control; Fuzzy and neural systems relevant to control and identification; Evolutionary algorithms in control and identification 
Abstract: The aim of this track is to bring together different communities working on different aspects of intelligent control and advanced algorithms in system engineering and automation. The track will discuss some fundamental issues on control of complex systems, including application of soft computing techniques, heuristic optimization, intelligent approaches, both for system modelling and control design, and potential applications to real-world systems.
Code for submitting contributions: g7v54
Category: 3.2. Computational Intelligence in Control
Main Theme: 3. Computers, Cognition and Communication

Title: Multi-objective optimization techniques in control systems engineering
Track proposers: Reynoso-Meza, Gilberto; Garcia-Nieto, Sergio
Keywords: Evolutionary algorithms in control and identification 
Abstract: Control engineering problems are generally multi-objective problems; that means that there are several specifications and requirements that must be fulfilled, often in conflict. A traditional approach for calculating a solution with a desired trade-off is defining an optimization statement. Multi-objective optimization techniques deal with such problem from a particular perspective by searching for a set of potentially preferable solutions: the so called Pareto set. The designer may then analyze the trade-off among solutions in this set, and select the most preferable alternative according to the problem at hand. The aim of this open track is to provide the opportunity among practitioners to exchange ideas and to share potential applications of multi-objective optimization techniques in control systems engineering. This track follows its previous edition in 2017 and focuses on using or extracting information from a Pareto front approximation, in order to solve a control problem. Topics covered (but not limited to) include insights, tools and theoretical developments on: Multi-objective problem definition; Multi-objective optimization process; Multi-criteria decision making stage; Modelling for control; Controller design and tuning
Code for submitting contributions: hqkp5
Category: 3.2. Computational Intelligence in Control 
Main Theme: 3. Computers, Cognition and Communication 
Detailed information: pdf

Title: Models and methods for the engineering of Cyber-Physical Systems with increasing autonomy
Track proposers: Fay, Alexander; Diedrich, Christian; Niggemann, Oliver; Pereira, Carlos Eduardo; Weyrich, Michael; Vyatkin, Valeriy
Keywords: Internet of things; Knowledge-based control; Remote and distributed control 
Abstract: Cyber-Physical Systems (CPS) impose additional challenges regarding their design, implementation and operation, especially when they are intended to form systems of systems and to have some degree of autonomy. Their (desired) abilities to consider varying internet-based information sources, to show emerging behaviour in cooperation, to operate in varying context, and to learn and improve their behaviour during operation request suitable models and methods to ensure a safe and reliable operation. Within this Open Invited Track, new approaches will be presented how to cope with these challenges. Contributions should explicitly address where and how they can be embedded into a model-based engineering approach and how they fulfill the requirements of industrial applications. The model-based engineering and operation of CPS has been subject to extensive research during recent years and comprises a variety of modelling approaches and methods for the design, implementation, and validation of control. While these methods have traditionally assumed that all operational requirements are known at design time, there is an increasing trend towards CPS, especially long-living systems, which are, or will be, operated under conditions which are, to some degree, unknown at design time. Possible approaches to cope with this requirement are: to equip CPS with a-priori-knowledge (models, rules, semantics etc.) which extend their potential to understand their tasks and their environment; to enable CPS to become aware of changing environmental conditions and requirements (also known as open context); to enable CPS to adapt or re-build their model of their environment, i.e. to learn patterns, correlations and models based on the observations; to provide a CPS the possibility to communicate with others and to negotiate with them about the execution of given tasks and the fulfillment of requirements in united and shared activities; Model-based Software Engineering, Autonomous Agents, Artificial Intelligence, Machine Learning and the Industrial Internet of Things are key technologies for these developments.
Code for submitting contributions: m9rrj
Category: 3.3. Telematics: Control via Communication Networks
Main Theme: 3. Computers, Cognition and Communication
Detailed information: pdf

Title: Modeling, Identification, Estimation and Control in micromechatronic systems
Track proposers: Hultmann Ayala, Helon Vicente; Oomen, Tom; Fleming, Andrew John; Rakotondrabe, Micky
Keywords: Micro and Nano Mechatronic Systems; Identification and control methods; Smart Structures 
Abstract: Micromechatronic systems are miniaturized systems that are used to perform tasks such as positioning, manipulation, grasping, objects characterization or interrogation at small scales. While the fundamental property they should have is the high positioning resolution, which could be down to nanometers, additional performances such as high dynamics and high repeatability could be of great importance. Micromechatronic systems are found in numerous applications: microscopy based imaging, micromanipulation and microassembly, nano-indentation, data storage, medical microrobotized tasks, micro-UAV survey, aerospace micro-propulsion systems, energy harvesting, etc. To reach the high resolution required in micromechatronic systems, these latter undergo a very different design against classical-sized mechatronic systems. They are generally based on smart materials or active materials, use flexible structures instead of joints, and might use various principle of motion such as stick-slip and inch-worm like strategies, etc. Being so, micromechatronic systems introduce several challenges in term of modeling, identification, design, signal estimation, and control. These challenges include but not limited to: uncertainties in the model structure and parameters, strong nonlinearities, high Q-factor in the frequency response, sometimes limited appropriate sensors to make real-time feedback control or online identification, high sensitivity to the environment, coupled hysteresis and other kinds of nonlinearities, etc. The aim of this open invited track is to propose an opportunity to bring together researchers and engineers interested, using or working in micromechatronic systems and mechatronic systems for small scales. The expected papers shall include recent results in modeling, identification, signals/parameters estimation and control in these systems permitting to reach the severe performances required for the tasks at small scales whilst in presence of the various challenges. Keywords: modeling, identification and control methods, motion control system, estimation and filtering, data-fusion, feedback control, feedforward control, vibration control, hysteresis modeling and control, ... for micromechatronic systems.
Code for submitting contributions: 2bpt8
Category: 4.2. Mechatronic Systems
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Recent Methodologies for Reliability Design and Resilient Control of Intelligent Mechatronic Systems
Track proposers: Karimi, Hamid Reza; Tang, Yang; Veluvolu, Kalyana Chakravarthy
Keywords: Mechatronic systems; Intelligent interfaces; Design methodologies 
Abstract: Due to the increasing demands on reliability, safety, maintenance as well as economic performance in operation of real physical systems, there is a rapid growth of research development on reliability modeling, design and reliability testing due to complex failure modes in system operation. Therefore, reliability design and resilient control are two major challenges and requirement to achieve reliability requirements. On the other hand, Intelligent Mechatronic Systems (IMS) such as intelligent vehicles/robots/transportation systems, are generally complex due to the integrations of artificial intelligence and multidisciplinary features taken from mechanical engineering, electrical engineering, and control engineering. This integrated complexity leads to challenges in reliability modeling and reliability testing due to different and complex failure modes. The main focus of this Open Invited Track (OIT) will be on the new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and resilient control of Intelligent Mechatronic Systems (IMS). This OIT provides a platform to share most recent developments in the fields of reliability design and resilient control.
Code for submitting contributions: 6mwsh
Category: 4.2. Mechatronic Systems
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Mechatronics tools and control related to robotic manipulation 
Track proposers: Mourad, Benoussaad; Grossard, Mathieu; Rakotondrabe, Micky
Keywords: Mechatronics; Robots manipulators; Identification and control methods 
Abstract: Robotic manipulation deals with the use of mechatronic devices, generally integrated grasping tools together with robot arms, to perform manipulation or grasping of objects. Such robot tasks exist both in macro and in miniaturized scales (microrobotics) and their applications are numerous: automotive industry, medical (surgery and assistance), watch industry, military... While many challenges have been yet observed in robotic manipulation, such as limited number of sensors and uncertainties, we witness the last decade novel scientific stimuli: robotic manipulation in presence of or with human, tasks in harsh - extreme or tiny environment, manipulation tasks with very small objects where surface forces are more important than the weight, more and more complex objects shape, deformability of the objects, more and more dexterity to be reached, multi-fingered manipulation, grasping stability, manipulation based on mobile robotics platform. Hence new advanced modeling, control techniques and related tools have also been raised for the mechatronic devices that equip these robots and for these latter as well. The aim of this open invited track is to create the opportunity of bringing together the researchers from the communities of mechatronics, robotics and control to propose innovative solutions and methodologies to succeed the tasks of manipulation. Technical Committee: This invited track is within the IFAC T.C.4.2 Mechatronic Systems activities. The invited track can also touch the IFAC T.C.4.3 Robotics Keywords: advanced methologies of control, stability analysis, grasp quality, trajectory tracking, force control, modeling, estimation, identification, actuators, sensors, robot hands. The keywords listed above should be referred but not limited to: autonomous, collaborative or tele-manipulation, assembly, grasping, Human-Robot interaction, microrobotics, (macro)robotics. Simulation and/or experiments are strongly encouraged in the submitted papers.
Code for submitting contributions: ne9qv
Category: 4.2. Mechatronic Systems
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Mechatronics and Intelligent Systems in Railways
Track proposers: Dixon, Roger; Goodall, Roger
Keywords: Application of mechatronic principles; Mechatronic systems; Identification and control methods 
Abstract: In terms of the uptake of mechatronics and intelligent systems technologies, the railway industry has lagged behind other industries. However, the industry is now beginning to embrace the many opportunities presented to improve system design through a mechatronics and control systems centred approach to design, monitoring and maintenance. This open invited track will bring together presentations by researchers working on both sides of the wheel-rail interface to make novel contributions to vehicle and track technology, thereby giving a good introduction to the state of the art of mechatronics and related intelligent systems for railway applications.
Code for submitting contributions: si3j3
Category: 4.2. Mechatronic Systems
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Advanced robot modeling and control
Track proposers: Klimchik, Alexandr; Pashkevich, Anatol; Kolyubin, Sergey; Gaponov, Igor
Keywords: Identification and control methods; Modeling; Intelligent robotics 
Abstract: The primary objective of this track is to bring together specialists in different fields of advanced robot modeling, control and their applications in manufacturing and service. It addresses scientific and engineering problems that arise in automation of various technological processes and robot-based transportation in the industrial environment. Particular topics covered by the track include optimal design, simulation and modeling of robotic manipulators and robotic manufacturing cells, robot calibration and estimation of model parameters, improvement of manipulator accuracy, advanced and intelligent robot control, human-robot collaboration, cooperation and interaction, as well as robot application in assembly, milling and welding. Special emphasis is given to the innovative methodologies and advanced technologies in the area of modern industrial robotics and multi-robot cooperation.
Code for submitting contributions: 4561m
Category: 4.2. Mechatronic Systems
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Adaptive Neural Networks and Their Applications
Track proposers: Ge, Shuzhi Sam; Liang, Xiaoling
Keywords: Networked robotic system modeling and control; Design methodologies; Motion Control Systems 
Abstract: Recent years have seen a rapid development of neural network control techniques and their successful applications. Numerous simulation studies and actual industrial implementations show that neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. In spite of these remarkable advances in the neural control field, due to the complexity of nonlinear systems, the present research is still focused on the development of control approaches/methods and control applications within the fields of neural control. The proposed track will create a discussion forum for the presentation of challenging issues and new results on neural networks and artificial intelligence. New analysis and design techniques, as well as new interesting application examples are invited for submission to this track.
Code for submitting contributions: 5snux
Category: 4.3. Robotics
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Mathematical Robotics
Track proposers: Matveev, Alexey S.; Shiriaev, Anton; Robertsson, Anders; Fradkov, Alexander L.; Chemori, Ahmed
Keywords: Mobile robots; Robots manipulators; Intelligent robotics 
Abstract: New challenges faced by robotics motivate to largely break the tradition in which roboticists mainly act as users of mathematical tools and results and to energetically shift towards their more active role in shaping and creating novel, yet specialized, tools and results and in identifying general problem statements and whole research directions to be shared by experts from various concerned communities. This Open Invited Track aims at bringing together researchers concerned with all branches of robotics in order to highlight, share, disseminate, and foster substantial and critical mathematical content, methods, ideas, perspectives, needs, and challenges in the fields of robotics, along with relevant recent high-quality results and advances in the area. The participants are also expected to identify fundamental and significant areas of robotics research and the mathematical tools needed to solve problems therein.
Code for submitting contributions: 98ie3
Category: 4.3. Robotics
Main Theme: 4. Mechatronics, Robotics and Components
Detailed information: pdf

Title: Quality and Process Control in Modern Manufacturing
Track proposers: Abel, Dirk; Stemmler, Sebastian
Keywords: Manufacturing plant control; Intelligent manufacturing systems 
Abstract: Today's manufacturing systems are characterized by their high productivity as soon as they are tuned for a specific product. Both the duration and the effort, which are required for the adjustments, correlate very strongly to the experiences of the machine operator and the available optimization tools. In order to simplify the set-up process before and during manufacturing, further control loops at process level as well as quality level have to be established. Thus, the degree of automation of the manufacturing systems is increased while the adjustment effort is decreased. In contrast to machine control loops, which only control machine variables and usually consider the process as a disturbance, process control loops set specific process variables. This provides reproducible manufacturing results. Since the process variables often cannot be influenced directly by the available manipulated variables, the transfer behavior from the machine-oriented manipulated variables to the controlled process variables has to be considered during control in order to achieve high process performance. When the process controllers guarantee high control accuracy, higher control loops or optimization routines can be applied in order to enable quality control. Both represent an essential part regarding the development of future production systems. For this reason, this track will focus on the following topics: model-based process control in manufacturing; quality control in manufacturing; system identification for process model-adaption; estimation and prediction of product-relevant process values.
Code for submitting contributions: 1g3us
Category: 5.1. Manufacturing Plant Control
Main Theme: 5. Manufacturing and Logistics Systems

Title: Prognostics and health management in manufacturing: New challenges and perspectives in the era of Industry 4.0
Track proposers: Nguyen, Thi Phuong Khanh; Medjaher, Kamal; Choi, Joo Ho
Keywords: Intelligent maintenance systems; Intelligent manufacturing systems; Life-cycle control 
Abstract: This track aims to expand the IFAC Congress coverage to new trends of Prognostics and Health Management (PHM) in the era of Industry 4.0. It provides academic researchers and industrial practitioners the opportunity to present, discuss, and share their latest developments and solutions across diverse application areas, especially manufacturing industries. Nowadays, in light of Industry 4.0, manufacturing systems are becoming cyber-physical ones which are more intelligent but more complex. This growing complexity induces many challenges in fault detection, diagnostic, prognostics, decision making and maintenance functionalities. Finding new solutions to respond to these challenges becomes a necessary and crucial mission. Therefore, this open track is devoted to the development and application of methods, algorithms, and tools that allow processing heterogenous data; continuously monitoring complex systems in real time; early detecting different abnormal operating modes; effectively diagnosing probable causes; accurately anticipating failures; and taking appropriate decisions accordingly.
Code for submitting contributions: 6n525
Category: 5.1. Manufacturing Plant Control
Main Theme: 5. Manufacturing and Logistics Systems
Detailed information: pdf

Title: Supply Chain Dynamics, Resilience and Control
Track proposers: Ivanov, Dmitry; Dolgui, Alexandre; Sokolov, Boris
Keywords: Modeling of manufacturing operations; Production planning and control; Logistics in manufacturing 
Abstract: Current research in supply chain management and engineering has been increasingly focused on the issues of resilience, dynamics and decision-making under uncertainty. It has been accepted by research community that the effects of various sources of uncertainty should be considered during both supply chain design, planning and execution control. In addition, the issues of behaviour prediction and adaptation become more and more important. The research focus is now shifting to a paradigm that the performance of supply networks is to interrelate to dynamics, adaptability, stability, resilience, and crisis-resistance. This Open Track aims to summarize recent developments in the field of supply chain resilience, dynamics, control and disruption management from a multi-disciplinary operational perspective that includes different quantitative methods and information technology. The aim of this session is to attract high-quality papers detailing the most recent developments in the field of tackling uncertainties, dynamics, and disruptions in the supply chain. We welcome quantitative analysis contributions from different disciplines of operational research, control theory, system dynamics, and artificial intelligence that provide new insights into the theory and practice of supply chain dynamics, control and disruption management.
Code for submitting contributions: i8wka
Category: 5.2. Manufacturing Modeling for Management and Control
Main Theme: 5. Manufacturing and Logistics Systems

Title: System Identification for Manufacturing Control Applications
Track proposers: Lototsky, Vladimir; Bakhtadze, Natalia; Chernyshov, Kirill; Jharko, Elena
Keywords: Identification and model reduction; Manufacturing plant control; Intelligent manufacturing systems 
Abstract: The SIMCA Open Invited Track aims to bring together scientists working in all branches of control theory to discuss, in the light of manufacturing control problems, issues relating to development of the theory and methodology of identification, corresponding mathematical problems, parameter and non-parametric identification, structure identification and expert analysis, problems of selection and data analysis, control systems with an identifier, identification in intelligent systems, simulation procedures and software for identification and modeling, cognitive issues of identification, verification and problems of software quality for complex systems, global network resources of support processes of identification, modeling, and control.
Code for submitting contributions: ydvn3
Category: 5.2. Manufacturing Modeling for Management and Control
Main Theme: 5. Manufacturing and Logistics Systems

Title: Interoperability in the Cyber-Physical Enterprise
Track proposers: Panetto, Herve; Weichhart, Georg; Molina, Arturo
Keywords: Systems interoperability; Internet-of-Things and Sensing Enterprise; Digital enterprise 
Abstract: The cyber-physical enterprise is a digital business innovation concept making Internet of Things, Service Oriented Architectures and Advanced Human Computer Interactions converge for more agile, flexible and proactive management of unexpected events in the global value networks of today. In essence, it concerns the adoption of Future Internet technologies in the frame of the Factory of the Future paradigm, for the virtual enterprise and its value network. Translating the same concept to production systems in manufacturing enterprises, and moreover to Smart Systems in general (smart manufacturing, smart cities, smart logistics …), the capability by next generation systems sensing, modelling and interpreting the signals from the real world is a pre-requisite for a more flexible and agile reconfiguration of those smart systems. Intuitively, a sensing system requires resources and machineries to be constantly monitored, configured and easily interacted by blue collar workers. All these functions, and much more indeed, are now implemented by so-called Cyber-Physical Systems (CPS)
Code for submitting contributions: 3ig8y
Category: 5.3. Enterprise Integration and Networking
Main Theme: 5. Manufacturing and Logistics Systems
Detailed information: pdf

Title: Security of large-scale complex systems
Track proposers: Promyslov, Vitaly; Poletikin, Alexey; Jharko, Elena; Meshcheryakov, Roman
Keywords: Integrated monitoring, control and security for critical infrastructure systems; Modelling and control of hybrid and discrete event systems; Quality assurance and maintenance 
Abstract: The components of the modern world including enterprises, facilities tend to be more and more interconnected and form a large-scale complex system. Their control systems rely on a top of complex and distributed architecture, implementing multiple functions, and integrates numerous digital components throughout the facility. A more profound automation of large-scale systems has the potential to increase operation safety, to enhance production and to reduce development costs. Nevertheless, it also brings new cyber security threats inside the system. Logically, the technical evolutions of control and safety systems and the rapid evolution of the threat landscape has turned cyber and information security into a high-priority issue for modern society. To face this challenge, innovation and research are needed: this session aims at contributing to this effort. It is open to both industrial and academic contributions in the area of cybersecurity of large scale and complex systems. High-quality scientific papers are expected, but industrial use- cases and application reports are also most welcome. The list of topics includes, but is not limited to: Secure architecture design of large-scale complex systems; Developing of new mathematical approaches to model of hybrid and discrete event systems; Cybersecurity maintenance and patch management over time; Risk assessment approaches adapted to the security context; Quality assurance and maintenance on system and components level; Cybersecurity exercises and contingency plans; Intrusion-tolerant and resilient systems and architectures; Coordination between functional and cybersecurity requirements or provisions; Threat and attack modeling and security metrics; Security assessment tools and methodologies; Security Incidence response; Forensics for industrial control systems; Cryptography; Authentication and Authorization; Policy, regulations, normative frameworks; Smart devices and internet of things security; Security in industrial and infrastructure facilities (avia, nuclear and energy sector, transport)
Code for submitting contributions: m74c1
Category: 5.4. Large Scale Complex Systems
Main Theme: 5. Manufacturing and Logistics Systems

Title: Large-Scale Complex Networked Systems: Analysis and Control
Track proposers: Wang, Xiaofan; Cao, Ming; Ren, Wei
Keywords: Optimization and control of large-scale network systems; Multiagent systems; Decentralized and distributed control 
Abstract: In the past decades, there have been more and more research interests in the analysis and control of large-scale complex networked systems, with application to communication networks, power grids, transportation networks, biological networks, social networks and so on. The aim of this track is to bring together different communities working on different aspects of complex networked systems. The track will discuss some fundamental issues on analysis and control of complex networks, including control of interdependent complex networks, mathematical and algorithmic tools for analysis and design of large-scale networked systems, and potential applications to real-world systems.
Code for submitting contributions: 8ypds
Category: 5.4. Large Scale Complex Systems
Main Theme: 5. Manufacturing and Logistics Systems
Detailed information: pdf

Title: Processes control with tomographic sensors
Track proposers: Hampel, Uwe; Hlava, Jaroslav
Keywords: Process control applications; Measurement and instrumentation; Advanced control technology 
Abstract: The session invites to present recent developments in the field of industrial process control via industrial process tomography sensors. The scope covers fundamental approaches for sensors, data processing and control strategies using massive image data as well as examples of existing or proposed industrial application. A focus on the sensor side is on smart tomographic sensors, that is, sensors which are small, robust and integrated into the process. Such sensors typically use electromagnetic, optical, ultrasound or microwave sensing technology. However, also sensors based on ionizing radiation or magnetic resonance may be addressed. On the control side focus is on fast and robust massive data and image processing, including image reconstruction, as well as application of advanced control strategies which account for massive image data, such as model-predictive control, fuzzy control and neural networks. Potential industrial applications are seen in the process industry, but can also be related to other fields, like environmental engineering, manufacturing engineering or energy engineering.
Code for submitting contributions: 757fi
Category: 6.1. Chemical Process Control
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Thermodynamics and Control
Track proposers: Hudon, Nicolas; Ramirez, Hector; Dochain, Denis; Maschke, Bernhard; van der Schaft, Arjan J.
Keywords: Process control applications; Interaction between design and control; Nonlinear process control 
Abstract: Theoretical and application contributions on modeling, systems analysis, and control design to physical systems were published in the context of automatic control. In particular, extensions of structure-modeled systems, for example port-Hamiltonian systems citep{duidam2009}, to thermodynamic systems generated interest within the community. The relation between systems theory, as understood by researchers and practitioners in automatic control, and thermodynamics is an active scientific area of investigations. Classical extensions of dissipative systems theory to dynamical systems with inputs and outputs under thermodynamic constraints lead, in recent years, to numerous results ranging from geometric framework for feedback control design to stability analysis, both for deterministic and stochastic systems. The need for a physically-consistent control theory for thermodynamic systems also arises from applications, in particular energy production and transformation process systems, reaction networks analysis, and distributed parameter systems. The objective of the proposed Open Invited Track is to gather contributions from systems and control practitioners and researchers interested in thermodynamic systems. Contributions are expected to range to modeling, analytic, geometric, and control design methodologies for thermodynamic systems and processes.
Code for submitting contributions: i9499
Category: 6.1. Chemical Process Control
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Control and estimation of particulate processes
Track proposers: Palis, Stefan; Kienle, Achim
Keywords: Control of particulate processes 
Abstract: Particulate processes form an important class of systems with, from a control perspective, very specific challenges. Depending on the chosen modeling paradigm, they can be described by nonlinear finite or infinite dimensional systems. Where the order depends not only on the investigated spatial coordinates, but also on the number of investigated particle properties or even the number of particles itself. In addition, particulate processes may depend significantly on the present flow field. Hence, control design and system analysis is challenging. Not surprisingly particulate processes, as for example crystallization or granulation, are thus constantly gaining research interest.
Code for submitting contributions: fnkw2
Category: 6.1. Chemical Process Control
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Control of Additive Manufacturing Processes and Devices
Track proposers: Monnigmann, Martin; Abo Ras, Mohamad; Barari, Ahmad
Keywords: Industrial applications of process control; Monitoring of product quality and control performance 
Abstract: Additive manufacturing (AM) is expected to fundamentally change today's production processes. While basic controllers for temperature or material feed are established in AM, the overall quality and reproducibility of printed parts largely relies on open-loop control. This is surprising, because it has been recognized for a long time that a widespread use of AM processes is currently hampered by the need of case-by-case machine parameter and process parameter tuning, which often can only be carried out by trial-and-error. Consequently, there exist a variety of opportunities for control engineers in the field, ranging from real-time feedback control for single layer and layer-to-layer control, over adaptive and learning methods for the automatic calibration of AM devices, to control methods that address high-level features of printed parts such as residual stresses.
Code for submitting contributions: m3285
Category: 6.1. Chemical Process Control
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Control and operability of intensified and modular industrial manufacturing systems
Track proposers: Pistikopoulos, Efstratios N.; Bollas, George M.; Baldea, Michael; Mitsos, Alexander
Keywords: Industrial applications of process control; Model predictive and optimization-based control; Interaction between design and control 
Abstract: The challenges that process industries face to enhance their economic, environmental and safety performance have led to the development and incorporation of Process Intensification (PI) solutions. Several Process Systems Engineering (PSE) approaches have been proposed in the literature to address the synthesis of PI systems. However, the operational performances (e.g., flexibility, safety, controllability) in the resulting intensified designs, which are crucial to practical implementation, are mostly neglected at this synthesis stage. This session will focus on new developments for the synthesis of PI and modular industrial manufacturing systems, with simultaneous considerations of advanced control strategies, operability, safety or flexibility.
Code for submitting contributions: a1594
Category: 6.1. Chemical Process Control
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Monitoring and Control for Mining, Minerals and Metals
Track proposers: Chen, Zhiwen; Sun, Bei; Le Roux, Johan Derik; Craig, Ian; Luo, Hao
Keywords: Identification and modelling; Fault diagnosis and fault tolerant control; Advanced process control 
Abstract: The aim of this proposal is to discuss and evaluate the recent progress of data analysis as it relates to monitoring, modelling and process control in the mining, minerals and metals industry. Rapid developments in electronics, information and communication technologies are causing huge changes in mining, nonferrous metallurgy, iron and steel making processes. Due to the ever-increasing demands on product quality and economic benefit, intelligent components and devices are implemented and connected to each other and real-time supervision and control systems are running in parallel. Consequently, the degree of automation in modern mining, minerals and metals processes is continuously growing. This challenges scientists and engineers to develop advanced process monitoring and control methodologies to solve optimal process monitoring and control issues. This open invited track would like to provide a forum for researchers and industrial engineers to exchange their latest achievements on data-driven and model-based process monitoring and control techniques and to discuss the vital issues, challenges, and possible future trends in processes of interest. The manuscripts to be accepted in this open invited track are expected to provide the latest advances of data-driven and model-based design approaches, especially the novel theoretical achievements with practical applications. Topics of interest include, but are not limited to: Process monitoring approaches and applications; Model-based or data-driven control design approaches and applications; Performance evaluation, diagnosis, decisions, and their applications; Industrial optimization methods and applications; Real-time machine learning methods and practical applications.
Code for submitting contributions: i13br
Category: 6.2. Mining, Mineral and Metal Processing
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Distributed optimization for active and reactive power management in Smart Grids
Track proposers: Robba, Michela; Dachiardi, David; Ferro, Giulio; Haider, Rabab; Annaswamy, Anuradha
Keywords: Optimal operation and control of power systems; Smart grids; Intelligent control of power systems 
Abstract: The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. Each of these new entities introduces a host of challenges due to uncertainties and intermittencies associated with their presence. Therefore there is an increasing need to make fast, accurate, and reliable decisions for an efficient, affordable, and resilient grid. Each of these new entities is equipped with advanced ICT systems, allowing real-time monitoring, communication, computation, and control. This in turn enables advanced decision and control schemes that can lead to optimal grid performance. The specific performance we will focus on in this session is the active and reactive power management in the new emerging smart grid. As much of the changes in the emerging grid are occurring at its edges, and spatially distributed, distributed decision making represents one of the best solutions to deal with this kind of systems. In fact, this method has a number of advantages like plug and play, improving resiliency, fault robustness, and privacy, ensuring optimal agent coordination with limited information exchange. Several important tools are expected to play a major role in order to understand how such distributed decision making can be carried out for active and reactive power management, which include distributed optimization, distributed control, integration of demand response, inclusion of storage, interconnection with microgrids, and design of wholesale and retail electricity markets that support the implementation of these tools. The proposed Open Invited Track will seek contributions related to all of these tools for active and reactive power management in an emerging grid. Theoretical methods, algorithms, and tools, as well as validation using real case studies through high fidelity simulations will be considered.
Code for submitting contributions: t8345
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Emerging Challenges and Directions of Advanced Battery Management
Track proposers: Fang, Huazhen; Lin, Xinfan; Howey, David; Donkers, M.C.F.
Keywords: Control of renewable energy resources; Control of micro- and nano-systems; Condition Monitoring 
Abstract: Battery energy storage systems are rising as the backbone of numerous industrial and civilian systems. Their performance and safety critically rely on advanced battery management systems, which have attracted considerable attention and efforts, particularly from the controls community, in the past decade. Battery management research today is witnessing a tremendous emergence of new problems and challenges, due to the incessant demands for higher-performing batteries as well as the increasing sizes, cell- to system-level complexities, diversity of electrochemistries, and application scenarios of various battery systems. The trend will drive the research explorations in the upcoming years and lead to the formation of new research directions. This open invited track thus aims to gather researchers from both academia and industry to share the up-to-date research advances and perspectives about future opportunities and outlook of this vibrant field.
Code for submitting contributions: g877u
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Optimal planning and management of electric vehicles and charging stations
Track proposers: Minciardi, Riccardo; Ferro, Giulio; Robba, Michela; Parodi, Luca
Keywords: Smart grids; Control system design; Intelligent control of power systems 
Abstract: In the next decade, Electric Vehicles (EVs) will become the main transport means in the world, since it is the best way to reduce pollutant emissions from the transport sector, at least in urban areas. This new type of vehicles will have a huge impact on the power network because they represent very large loads often aggregated in the same area. New technologies, like the Vehicle-to-Grid (V2G), i.e. the possibility for the vehicle to inject power into the network, and Smart Charging (SC) are some of the best solutions to handle these kinds of problems, in order to have secure and reliable systems and provide ancillary services to the distribution grid (like demand response (DR) and reactive power regulation). In this scenario, the figure of the electrical vehicles aggregator (EVA) represents a new retail market participant that can provide regulation services to the distribution grid. Moreover, the operational management of EVs in a smart grid should be integrated with the optimal planning and positioning of the Charging Stations (CSs), which can deeply modify the transportation network and lead to important operations on the electrical grid. The proposed Open Invited Track will seek contributions related to all of these tools for the optimal planning and management of electric vehicles and charging stations. Theoretical methods, algorithms, and tools, as well as validation using real case studies through high fidelity simulations, will be considered.
Code for submitting contributions: 8xran
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Approaching Floating Off-shore Wind Turbines: modelling, optimization and control
Track proposers: Santos, Matilde; Tomas-Rodriguez, Maria; Martynowicz, Pawel
Keywords: Control of renewable energy resources; Modeling and simulation of power systems; Control system design 
Abstract: The aim of this Open Invited Track is to bring together different approaches on modelling, identification, optimization and control of floating wind devices, emphasizing the need to reduce vibrations and oscillations they are subject to due to the existing marine loads. This session will provide an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in modelling and vibration control of floating wind turbines. Within the area of renewable energies, wind energy has arisen important expectations in terms of energy production and high efficiency, but also concerns about possible environmental impact have been raised. One possible solution in order to alleviate this problem is the installation of offshore wind turbines (OWT), more in particular, in deeper seabed areas, FOWT (floating offshore wind turbines). However, due to their location on the sea surface in the presence of large waves and with strong winds and currents, they are subject to large loads and undesirable vibrations. Hence, reducing the load impact in these structures is a fundamental aspect as this would allow for increased reliability and possibly, the need for lighter and cheaper structures. Wind turbine control methods would be enhanced and ultimately, energy extraction could be optimized. In order to address these issues, identification of computational models that can represent these unstable and strongly non-linear systems are essential. On the other hand, the further development and improvement of the various control aspects involved in the performance of these renewable energy systems should also be addressed. Analytical and heuristic optimization can be applied at different stages of the study of these floating devices. Besides, the analysis of the external loads, such as wind and waves, that has such a strong influence on the FOWT dynamics are necessary. This special session aims to disseminate high quality research results regarding not only the theoretic aspects, but also related effective applications to different types of floating wind turbines.
Code for submitting contributions: ga5nh
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems

Title: Wind turbine and wind farm control: Control challenges and solutions
Track proposers: van Wingerden, Jan-Willem; Fleming, Paul; Schlipf, David; Johnson, Kathryn; Pao, Lucy Y.
Keywords: Control of renewable energy resources; Control system design; Impact of deregulation on power system Control 
Abstract: Controls research plays an important role in wind energy. Advances in controls are making wind turbines more efficient, more reliable, and more cost-effective. Wind turbines have evolved from passively controlled machines to actively controlled machines, and more recently, to distributed machines controlled collectively (wind farms). With this open session, we invite researchers to present their latest results in wind energy control. The attendees of these sessions will learn how controls research can make substantial contributions to wind energy, and they will also get an overview of the latest developments and open issues. Example contributions include: ‘smart’ rotor control, lidar-based control, control of floating turbines, wind farm control, and active power control.
Code for submitting contributions: 3m7sx
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Control of Tethered Airborne Wind and Marine Hydrokinetic Energy Systems
Track proposers: Fagiano, Lorenzo; Vermillion, Christopher
Keywords: Control of renewable energy resources; Modeling and simulation of power systems; Intelligent control of power systems 
Abstract: Tethered airborne and marine hydrokinetic energy systems represent a revolutionary energy harvesting technology that provides access to high-altitude wind resources and deep-water tidal and ocean resources that are unreachable with towered systems. Today, a thriving worldwide, multi-disciplinary community of researchers and technologists has been established in this field. The delivered research results are gradually assessing and eliminating feasibility risks and improving our understanding of tethered energy systems, ultimately bringing these concepts closer and closer to commercialization. The demonstrated and projected advantages of these systems include lower installation costs, higher capacity factors, higher density of generated power per unit area of occupied space, and higher flexibility with respect to the current established renewable technologies, up to a level that will at maturity be competitive with fossil fuels without the need for political and economic incentives. While tethered airborne and marine hydrokinetic system concepts differ widely in their designs, they all share a common theme - replacement of conventional towers with tethers. This unifying theme, and the additional degrees of freedom that exist with tethered systems, makes control a central theme in the effective operation of these systems. The goal of this Open Invited Track at the 2020 IFAC World Congress is to bring together researchers from industry and academia to present and share their latest advancements and discuss the current and future research and development needs in this timely and thriving field.
Code for submitting contributions: 7k2sk
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Optimal operation and control in smart grids
Track proposers: Vale, Zita; Rueda, Jose L.; Faria, Pedro
Keywords: Smart grids; Optimal operation and control of power systems; Modeling and simulation of power systems 
Abstract: Energy assumes such an important role in today's societies that it is increasingly seen as a vital civilization issue. The use of renewable energy has largely increased, mostly to mitigate the environmental impact of the power industry, bringing huge challenges to power systems operation. There is an urgent need for innovative business models and policies and new mathematical models and approaches for operation and control of smart grids to ensure the efficient integration of distributed energy resources in power and energy systems. This track covers the "Optimal operation and control in smart grids" aspects, taking into account the diverse players and resources available in each smart grid environment, in order to catch and explore the full potential of each resource, bringing advantages for all the involved players. Topics of interest for this track include, but are not limited to: AI, intelligent systems, big data and machine learning Cyber security Demand flexibility and demand side response Electric vehicle, G2V and V2G Electricity markets Energy management systems Energy storage systems Generation flexibility Microgrids Modelling and control Optimal design, control and operation of renewables Optimization methods Renewable energy sources Stability and reliability Transactive energy, peer-to-peer, and local energy transactions.
Code for submitting contributions: ri453
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Modern Heuristic Optimization Methods in Smart Grids
Track proposers: Lee, Kwang Y.; Majanne, Yrjo
Keywords: Smart grids; Intelligent control of power systems; Control of renewable energy resources 
Abstract: Abstract: Heuristic search and optimization is a new and modern approach for solving complex problems that overcome many shortcomings of traditional optimization techniques. Heuristic optimization techniques are general purpose methods that are very flexible and can be applied to many types of objective functions and constraints. Developing solutions with these tools offers two major advantages: development time is much shorter than when using more traditional approaches, and the systems are very robust, being relatively insensitive to noisy and/or missing data/information known as uncertainty. In competitive electricity market along with increasing penetration of renewable energy sources, heuristic optimization methods are very useful. As electric utilities are trying to provide smart solutions with economical, technical (secure, stable and good power quality) and environmental goals, there are several challenging issues in the smart grid solutions such as, but not limited to, forecasting of demand, weather, price, ancillary services; penetration of distributed and renewable energy sources; bidding strategies of participants; power system planning & control; operating decisions under missing information and big data; increased distributed generations, energy storage systems, and demand response in the electric market. The objective of this Open Invited Track is to review the state of the art technologies in the modern heuristic optimization techniques and present case studies how these techniques have been applied in smart grids. Topics: Original contributions related (but not limited) to the following application areas are welcome for submission to this open invited track: Operation & Planning of Smart Grids, Power System Control & Optimization, Power Plant Modeling & Control, Distribution System Automation & Microgrids, Demand Side Management & Demand Response, Electricity Market under Renewables and Energy Storage Systems, Distributed Generation & Renewable Energy Sources, Forecasting Demand, Renewable Energy, and Price, Integration of Renewable Energy, Energy Storage Systems & Smart Grid
Code for submitting contributions: mtd4e
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems

Title: Smart Electricity Grid Resilience to Extremes: Concepts, Solutions, and Algorithms
Track proposers: Dehghanian, Payman; Heidari Kapourchali, Mohammad; Barati, Masoud
Keywords: Smart grids; Optimal operation and control of power systems; Intelligent control of power systems 
Abstract: Smart electricity grids, as the most complex man-made cyber-physical systems to date, are constantly confronting a wide range of unpredictable and highly-uncertain events that could impede preservation of sustainable, reliable and high-quality electricity needed to electrify the modern society and potentially compromise the national security. It is (i) the geographically-vast area of coverage translated into an expanded exposure of the electricity grid to a wide range of threats, (ii) the rushing arrival of uncertain renewables and the intensified stochasticity in the grid generation portfolios, and (iii) the elevated number and severity of the outage-inducing natural disasters and man-made cyber-attacks with different patterns and realizations, that now threaten to hinder the future societal growth and innovations. While such events and prevailing conditions, either naturally or cyber-driven, are difficult to predict, the electric industry commonly recognizes the need to build in system survivability and to develop advanced analytical tools for online monitoring, detection, verification, and mitigation of such threats that adversely affect the power grid operation and control. The proposed track will present state-of-the-art concepts, solutions, and algorithms on how to best improve the long-term structural resilience and short-term operational resilience of the complex power grids when facing extremes.
Code for submitting contributions: 8m782
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems

Title: Reliable and stable operation of large-scale smart grids
Track proposers: Weber, Harald
Keywords: Modeling and simulation of power systems; Smart grids; Application of power electronics 
Abstract: In the next ten years the majority of not only the German fossil and nuclear power plants will be switched off. After that the production of electrical energy can only be produced by renewable sources like water, wind and sun. With these sources alone a reliable and stable operation of the German grid can not be guaranteed. Therefore an appropriate amount of storages will be necessary which operate together as a “Storage Power Plant”. This will be the situation for a lot of countries in the future taking into account the green house gas reduction. Therefore in this Open Invited Track all possibilities for such storage power plants should be discussed. As result the fully renewable operation of the electrical system in the future has to be possible in all circumstances.
Code for submitting contributions: rv58s
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems

Title: Modelling, Control and optimization of Power Generation Systems: From Conventional to Renewable
Track proposers: Sun, Li; Li, Donghai; Zheng, Song
Keywords: Modeling and simulation of power systems; Control system design; Control of renewable energy resources 
Abstract: The past decade witnessed the booming growth of the renewable energy in the electricity market, such as solar, wind and tidal power generation. However, the intermittency of these renewable energy sources inevitably imposes great challenges on the reliability of the utility grid. To accommodate the renewables, some efforts can be made from either the renewable energy side or the conventional power plant side. A high flexibility of the power system requires a reasonable configuration of the dispatch able power sources and energy storage systems, such as coal-fired power plant, fuel cell and battery, hydro or pumped storage hydro systems. Efficient utilization of all of these power generation sources and energy storage devices relies on accurate modelling, active control and operational optimization. Cutting edge modeling and control research are great enablers of the renewable integration progress in this area. This track aims to provide an open forum for the researchers in this area to discuss the benefits, advancement and latest progress in this field. The following topics (but not limited to these) are welcome: Modeling and Control of Fossil-Fueled Power Plants; Combined cycle plants; Clean coal technologies; Fuel-cell plants; Modeling and Control in Renewables Power Generation; Wind power generation; Solar power generation; Geothermal generation; Ocean-based power generation; Modeling and Control in Nuclear Power Generation; Integration of Power Generation Systems into a Smart Grid;
Code for submitting contributions: it332
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Advanced Data Analytics and Computing Techniques for Large-Scale Power System Modeling and Simulation
Track proposers: Chen, Yousu
Keywords: Modeling and simulation of power systems; Real time simulation and dispatching; Smart grids 
Abstract: With the challenges of increased grid dynamics and more variability of power generation from renewable energy sources, rapidly increasing complexity in the grid model, and abundant data from measurements and simulations, the requirements for computational analysis have also increased dramatically. Operators and engineers need to analyze more scenarios, extract meaningful information from a larger set of data, and respond more quickly when faced with these new challenges. Because this trend is expected to continue, faster and more effective simulation tools will be required to provide quicker and better decision support to operators and engineers. Therefore, both advanced computing techniques, such as cloud computing, distributed computing, Message passing interface (MPI) and OpenMP, Graphical Processing unit (GPU) and edge computing, and big data analytics including machine learning and neutral network, are needed to handle complicated large-scale power system applications. The objective of this open invited track is to present the state-of-art techniques in advanced computing and big data analytics with their application in power and energy system for enhanced reliability and resilience.
Code for submitting contributions: 88bv9
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Models, control architectures and simulations for industrial energy symbiosis
Track proposers: Butturi, Maria Angela; Marinelli, Simona; Sellitto, Miguel
Keywords: Modeling and simulation of power systems; Smart grids; Optimal operation and control of power systems 
Abstract: The industry sector is requested to promote energy efficiency measures and a greater deployment of renewable energy to significantly reduce the greenhouse gas emissions, while boosting the competitiveness. Industrial energy symbiosis, built on the sharing of energy-related resources, facilities and infrastructures, is an effective model to promote energy conservation solutions and enable renewable energy sources (RES) uptake at the industrial level. The present session aims at presenting the up-to-date models and methods for industrial energy symbiosis optimization integrating advance in technologies and renewable energy sources.
Code for submitting contributions: 1729f
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Control of Power Electronic Converters
Track proposers: Zhong, Qing-Chang
Keywords: Smart grids; Control of renewable energy resources; Application of power electronics 
Abstract: Power systems are going through a paradigm shift from centralized generation to distributed generation. A large number of active units including wind farms, solar farms, small distributed energy resources (DERs), electric vehicles, energy storage systems and flexible loads are being integrated into power systems through power electronic converters. This imposes great challenges to the stability, scalability, reliability, security and resiliency of future power systems. Hence, it is vital to develop appropriate control architecture and technologies so that all these different players are able to take part in the regulation of future power systems in an autonomous and responsible way. This is also true for other smaller-scale power systems, e.g. those in more-electric aircraft, all-electric ships, and satellites etc. The control of power electronic converters lies in the heart of these applications and many other energy-related systems. The objective of this open invited track is to join the forces of the communities of control/systems theory and power electronics, from academia and industry, to address various emerging issues in modelling, control, converter design, stability and protection of power electronic conversion systems.
Code for submitting contributions: dwus5
Category: 6.3. Power Plants and Power Systems
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Industrial fault diagnosis/prognosis and fault tolerant control
Track proposers: Odgaard, Peter Fogh; Puig, Vicenç
Keywords: Applications of FDI and FTC 
Abstract: Fault diagnosis/prognosis and fault tolerant control play important roles in continued development of different kinds of industrial systems. In some industries, fault detection, isolation and fault tolerant control have already been well established, e.g. fault diagnosis is a standard component in automotive engines for reasons of pollution control and efficiency, in the aerospace industry on-board diagnostic algorithms can reduce maximal structure stress and reduce weight, and in other industries, fault prognosis, diagnosis and fault accommodation are technologies that gradually enter into the new design process. This field is also very active in the academic community, where new methods are being developed to meet the challenging industrial needs. The purpose of this track is to gain experience in the field from both academic and industrial perspectives. Submissions to this track should include theory and/or methods that directly target real world problems and cases of real applications, where in particular studies with genuine fault scenarios are encouraged. Academic style papers are also welcome if they have a clear focus on applications and if they include reasonable validation based on real system data or pilot plant experiments. Contributions are invited from various branches of industries where theory and methodology have been developed within the scope of fault prognosis, diagnosis and fault tolerant control. This track is promoted by the Working Group "Industrial Application of Advanced FDI/FTC Technology" of the TC 6.4. Safeprocess..
Code for submitting contributions: 3s114
Category: 6.4. Fault Detection, Supervision and Safety of Technical Process
Main Theme: 6. Power and Process Systems

Title: Intelligent Control of Systems under Degradation
Track proposers: Jha, Mayank Shekhar; Biswas, Gautam
Keywords: Adaptive system and control; Adaptive control by neural networks; Nonlinear adaptive control 
Abstract: Research areas such as Fault detection and Isolation (FDI), Fault tolerant (FTC) community as well as prognostic and health monitoring (PHM) seek new approach to render intelligence to control synthesis paradigm in order to mitigate the problems that arise due to abrupt faults or progressive failure in the absence of system model or degradation models. As almost all industrial and mission critical systems operate in closed loop, it has become imperative to develop control laws that are intelligent and result in guaranteed performance with desired levels of reliability. The primary objective of this invited track is to provide up-to-date presentation on technical trends and advanced methodologies that lie at cross overs of classical control and Artificial Intelligence as well as Reinforcement Learning based approaches for guaranteed performance and desired reliability of cyber-physical systems.
Code for submitting contributions: e3f98
Category: 6.4 Fault Detection, Supervision and Safety of Technical Process
Main Theme: 6. Power and Process Systems
Detailed information: pdf

Title: Eco-Driving: Energy Efficient Driving by Optimizing the Vehicle Speed
Track proposers: Sciarretta, Antonio; Donkers, M.C.F.
Keywords: Nonlinear and optimal automotive control; Intelligent driver aids; Trajectory and Path Planning 
Abstract: For traditional and hybrid vehicles, a better energy efficiency leads to lower fuel cost and lower emissions. Similarly, improving efficiency of electric vehicles leads to an extension of the vehicle’s driving range, thereby mitigating range anxiety. Range anxiety is the concern experienced by the user to be unable to reach the destination with the current energy. A significant amount of research in the control systems community has been on optimizing the energy efficiency of the vehicle's powertrain and auxiliaries by improving the vehicle's energy management system (EMS). In most of the work on vehicle energy management, the vehicle speed is assumed to be given (i.e., it is known, or it is estimated/predicted). Since most of the power generated by the powertrain is used for propelling the vehicle, optimizing the vehicle speed over a certain trajectory can lead to a considerable reduction in energy consumption. The potential energy reduction has contributed to the emergence of the so-called eco-driving concept, which aims to increase the energy efficiency of a vehicle by means of a convenient selection of driving strategies. Eco-driving can be implemented as an EcoDriving Assistance System (EDAS), in which the driver receives suggestions to adjust the driving style, as an adaptive cruise control system (ACC), or as a part of a fully autonomous vehicle controller. This invited track intends to bring together researchers in academia and industries working on the emerging topic of eco-driving.
Code for submitting contributions: s3gh3
Category: 7.1. Automotive Control
Main Theme: 7. Transportation and Vehicle Systems
Detailed information: pdf

Title: Marine Robotics: a New Wave of Autonomous Systems
Track proposers: Bibuli, Marco; Zereik, Enrica; Pascoal, Antonio M.; Sousa, Joao; Galeazzi, Roberto
Keywords: Marine system navigation, guidance and control; Unmanned marine vehicles; Marine system identification and modelling 
Abstract: Autonomous marine systems represents an extremely timely and interesting research field that poses formidable challenges both from a theoretical and practical standpoint. Many core problems in these areas are still open, and considerable research work is required to address and solve them. The complexity of the problems at hand requires a multifaceted approach to system analysis and design to exploit the use of methods and tools from dynamical systems theory, automatic control, networked systems, identification and estimation, computer vision, communications, sensing and measurements to yield practical systems capable of executing complex scientific and commercial missions at sea in an efficient and reliable manner. For these reasons, there is considerable interest in bringing together the marine robotics community and specialists on a number of complementary areas (including automatic control and related topics) to foster new synergies and promote joint research activities aimed at solving practical problems with far reaching implications on scientific, commercial, and societal marine-related issues. It is against this backdrop of ideas that we submit an invited open track proposal entitled ""Marine Robotics: a New Wave of Autonomous Systems"", aimed at bringing attention to this exciting field of research and promoting the cross fertilization of ideas required to bring new theoretical and practical advances to bear on the development of innovative systems.
Code for submitting contributions: nk3vb
Category: 7.2. Marine Systems
Main Theme: 7. Transportation and Vehicle Systems

Title: Emerging Technologies in Health Monitoring and Control of Hybrid Electric Vehicles
Track proposers: Karimi, Hamid Reza; Du, Haiping; Zhu, Xiaoyuan
Keywords: Health monitoring and diagnosis; Hybrid and alternative drive vehicles; Control architectures in automotive control 
Abstract: This Open Invited Track (OIT) has a strong focus on original articles that address state-of-the-art technologies and new developments in the research on health monitoring, fault diagnosis, prognosis and tolerant control for hybrid electric vehicles. More specifically, this OIT intends to provide an up-to-date overview of recent advances in modeling, analysis, control and health monitoring of hybrid electrical vehicles at component or system levels. This open invited track also intends to provide advanced and practical methodologies to deal with the existing challenges for innovative control strategies in hybrid electric vehicles (HEVs) or electric vehicles (EVs) including electric, hybrid electric and plug-in hybrid electric vehicle systems and architectures, modeling and simulation for HEVs or EVs, control strategies applied in HEVs or EVs, fault detection and isolation in HEVs or EVs, and energy optimization and management in HEVs or EVs. Both theoretical and experimental aspects will be considered, and recent research and application progress will be reported by academic and industrial communities.
Code for submitting contributions: 5nfe8
Category: 7.3. Aerospace
Main Theme: 7. Transportation and Vehicle Systems
Detailed information: pdf

Title: Application of vision information in on-board aircraft systems for civil aviation safety
Track proposers: Watanabe, Yoko; Burlion, Laurent; Bauer, Peter
Keywords: Decision making and autonomy, sensor data fusion; Guidance, navigation and control of vehicles; Avionics and on-board equipments 
Abstract: Nowadays societal challenges include the maintenance of the safety level in air traffic with the ever increasing number of manned flights and the predicted future integration of an enormous amount of unmanned flights into the national airspace. The challenges include the avoidance of mid-air collisions between manned and/or unmanned aircraft and also the coordination of traffic around and on airports during approach, landing and taxiing. Vision sensors are emerging more and more into everyday aerospace applications and can be inevitable in the detection of aerial and ground obstacles. Furthermore, they have a significant potential to improve the local precision navigation performance during landing maneuvers by providing supplementary and alternative information sources to the conventional navigation sensors (such as ILS or GNSS) without requiring on-ground airport infrastructure. This proposed open invited track (preferably as a regular session) targets to gather professionals with experience in the utilization of vision information in on-board aircraft systems for enhancing civil aviation safety. The session will provide them an opportunity to present and discuss ongoing research, hot topics and future challenges.
Code for submitting contributions: 6n65e
Category: 7.3. Aerospace
Main Theme: 7. Transportation and Vehicle Systems
Detailed information: pdf

Title: Development of traffic intersection model with traffic lights and programming and control with software and micro-controllers
Track proposers: Hoti, Bashkim; Doci, Ilir; Duraku, Ramadan
Keywords: Modeling and simulation of transportation systems; Automatic control, optimization, real-time operations in transportation; Intelligent transportation systems 
Abstract: Paper describes development process for the physical model of traffic intersection with traffic lights using sensors and regulation using Software and Micro-controllers. The model is developed and controlled in a coordinated manner as a system with hardware, electronic, and software components. It is a proportionally small model of cross intersection with two lane roads and 4 traffic lights. Traffic signals synchronization for this intersection is programmed with LabView Software and controlled with Arduino MEGA micro-controller. The aim of this project is to optimize traffic light signals using IR Sensor (InfraRed) in order to collect data and control them in real time using LabView software. It evaluates the traffic parameters and optimizes the traffic signals to reduce traffic delays and queues.
Code for submitting contributions: r825c
Category: 7.4. Transportation Systems
Main Theme: 7. Transportation and Vehicle Systems
Detailed information: pdf

Title: Automated Articulated Ground Vehicles
Track proposers: Michalek, Maciej; Ljungqvist, Oskar
Keywords: Navigation, Guidance and Control; Autonomous Vehicles; Automotive system identification and modelling 
Abstract: Articulated Ground Vehicles (ArGV) are very important and interesting dynamical systems from both the theoretical and application point of view. They include such multi-body structures like N-trailer vehicles (tractor-trailers), multi-steering articulated vehicles, articulated-steer vehicles (e.g. LHD loaders), large-capacity vehicles (LCV) and road trains, (multi-) articulated buses, aircraft-towing systems, special-purpose articulated vehicles for agriculture and mining, etc.. The purpose of this Open Invited Track is to address theoretical, computational, and application-oriented problems related to automation of ArGV motion in the broad context of modeling, motion planning, and control design relative to this type of dynamical systems.
Code for submitting contributions: 57mh3
Category: 7.5. Intelligent Autonomous Vehicles
Main Theme: 7. Transportation and Vehicle Systems
Detailed information: pdf

Title: Controls for Connected and Autonomous Vehicles
Track proposers: Eriksson, Lars
Keywords: Autonomous Vehicles; Motion control; Nonlinear and optimal automotive control 
Abstract: Control systems play a fundamental role in today’s vehicles and are necessary for achieving clean and efficient propulsion of vehicles. In particular, they are critical for achieving the emission legislations, without the onboard control systems the legislations on low emissions couldn’t be achieved and we wouldn’t be allowed to drive cars and trucks on the road. Control is also critical for active safety and driver support systems that are evolving into auto pilots and autonomous vehicles. The development of future systems relies on people from different disciplines meeting and communicating to find solutions to the complex problems these systems pose. To support this development the IFAC World Congress is inviting researchers and engineers to meet and participate in several planned sessions controls for clean, efficient, and safe transportation with connected and autonomous vehicles. Papers can be on subjects related to vehicle/powertrain controls that could utilize information in connected and autonomous vehicles, up to control of vehicle trajectories, cooperative vehicles, and traffic systems in the same. It is beneficial if the papers discuss the connection between control, planning, and autonomy. The idea is to include papers that touch several IFAC TC areas and give a meeting point that promotes information exchange. Therefore, the arrangement of the session will be planned together with the TC areas and the session will be arranged to also fit their sessions.
Code for submitting contributions: w3k6n
Category: 7.5. Intelligent Autonomous Vehicles
Main Theme: 7. Transportation and Vehicle Systems
Detailed information: pdf

Title: Surveys on: The biggest control challenges for connected and autonomous vehicles and robots
Track proposers: Eriksson, Lars
Keywords: Autonomous Vehicles; Decentralized Control and Systems; Learning and adaptation in autonomous vehicles 
Abstract: Control systems play a fundamental role in today’s vehicles and are necessary for achieving clean and efficient propulsion of vehicles. Control is also critical for active safety and driver support systems that are evolving into auto pilots and autonomous vehicles. Vehicles and robots share many common elements and there are opportunities for learning between the areas. To promote this development this session invites contributions with survey papers discussing the role that control has for meeting the challenges in connected and autonomous vehicles and robots, as well as highlighting the biggest control challenges of the future. The hope is that this session will serve as an inspiration for students and researchers that are taking on research work in these control related areas.
Code for submitting contributions: 64ns4
Category: 7.5. Intelligent Autonomous Vehicles
Main Theme: 7. Transportation and Vehicle Systems

Title: Sensing, control, automation and robotics for agriculture
Track proposers: Karkee, Manoj; Visala, Arto; Katupitiya, Jay; Noguchi, Noboru; Shimizu, Hiroshi
Keywords: Agricultural robotics; Precision farming; Pattern recognition and Artificial Intelligence in agriculture 
Abstract: World is facing increasingly critical challenges in producing sufficient, quality food, feed, fiber and fuel with depleting farming resources such as water, chemicals and labor. To address these challenges, scientists and engineers around the world have, in recent years, been exploring opportunities in utilizing new innovations in Artificial Intelligence, Internet of Things, Big Data Analytics, and Robotics. Widespread research and development in this area is expected to lead the farming industry towards Ag 4.0 supported by smart, automated/autonomous machines and agricultural systems that will increase consistency and reliability of farming decisions and operations, reduce inputs (including labor), and optimize crop yield and quality. Proposed session on ‘Sensing, Control, Automation and Robotics for Agriculture’ is expected to bring together a trans-disciplinary group of researchers working in both fundamental and applied research and development projects in this area to share their accomplishments, knowledge and experiences to the global audience. The session will also facilitate discussion on future direction for research and development, and help foster collaborative efforts across the continents to realize the vision of Smart Agriculture or Ag 4.0.
Code for submitting contributions: pe91p
Category: 8.1. Control in Agriculture
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Control, Mechatronics, and Imaging for Medical Devices and Systems in Medicine
Track proposers: Schauer, Thomas; Tsuzuki, Marcos de Sales Guerra; Benyo, Balazs; Desaive, Thomas; Moeller, Knut; Pretty, Christopher; Leonhardt, Steffen; Ionescu, Clara; Chase, J. Geoffrey; Medvedev, Alexander
Keywords: Decision support and control; Biomedical and medical image processing and systems; Rehabilitation engineering and healthcare delivery 
Abstract: As computational, control and sensor technologies advance the potential in application to medical and biological systems has increased exponentially. As a result, there has been an increasingly tight inter-relation between engineering and clinical medicine. This session thus focuses on modeling, system identification and control of physiological systems in medicine, including clinical applications. A secondary goal of the session is to provide a broad cross section of the area, focusing on the use of modeling, mechatronics (hardware) and control across a range of clinical devices, systems, imaging and their applications. The overall goal is to provide a range of sessions in this OIT, focused with respect to being clinically applicable, but broad with respect to area of clinical application and to engineering sciences (modeling, system ID, control, theory, computation, application and so on). Paper topics are not necessarily limited and could thus include: Mechatronics, hardware/firmware/software, and design; Rehabilitation systems: Functional Electrical Stimulation (FES), Robotics and Sensors; Medical Imaging for diagnosis or treatment, including algorithms to extract novel diagnostics or results; Modeling and control of novel medical devices or novel modeling/control of existing medical devices for (new) clinical application; Control of ECMO or circulatory assist devices; Artificial organ systems; Novel imaging methods and modalities, such as electro-tomographic imaging; Inverse problems for medical imaging; Biomechanics systems, such as for gait analysis or modeling. Overall, this session focuses, broadly, on model-based applications of dynamic systems modeling, control and system identification to clinical medicine, emphasising the novelty in the hardware/software of medical devices. The application areas are broad, but include current and emerging applications, as well as a broad array of potential application spaces.
Code for submitting contributions: 99n5p
Category: 8.2. Modeling and Control of Biomedical Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Physiological Control Systems in Medicine
Track proposers: Desaive, Thomas; Chiew, Yeong Shiong; Suhaimi, Fatanah; Knopp, Jennifer L.; Kovacs, Levente; Docherty, Paul D; Cinar, Ali; Chase, J. Geoffrey; Dana, Copot; Breton, Marc D; Medvedev, Alexander
Keywords: Physiological Model; Control of physiological and clinical variables; Artificial pancreas or organs 
Abstract: As computational, control and sensor technologies advance the potential in application to medical and biological systems has increased exponentially. As a result, there has been an increasingly tight inter-relation between engineering and clinical medicine. This session thus focuses on modeling, system identification and control of physiological systems in medicine, including clinical applications. A secondary goal of the session is to provide a broad cross section of the area, rather than focusing on specific organs or systems. These specific sessions tend to narrow the focus to specific research groups and thus a limited number of people, where a broader session will draw better numbers and be less exclusive. The overall goal is to provide a range of sessions in this OIT, focused with respect to being clinically applicable, but broad with respect to area of clinical application and to engineering sciences (modeling, system ID, control, theory, computation, application and so on). Paper topics are not necessarily limited and could thus include: Closed loop systems and clinical application; Closed loop control of anesthesia; Multi-scale modeling of physiological systems from detailed or high order models to lower order, very simplified physiological models; Metabolism; Artificial Pancreas Systems (APS); Cardiovascular modelling for diagnosis and therapy selection; Lung mechanics in mechanical patient ventilation; Cellular and macro level pharmacokinetics and dynamics; The dynamics of decision support systems for antibiotic therapy; System Identification methods and applications related to the above; Biomechanics modeling and analysis, including elements of tissue engineering which is emerging as a potentially new area for aspects of this TC. Overall, this session focuses, broadly, on model-based applications of dynamic systems modeling, control and system identification to clinical medicine. The application areas are broad, but include current and emerging applications, as well as a broad array of potential application spaces.
Code for submitting contributions: u733c
Category: 8.2. Modeling and Control of Biomedical Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Development of Control Theoretical Approaches in Biology and Medicine
Track proposers: Hernandez Vargas, Esteban A.; Rivadeneira, Pablo S.; Califano, Claudia; Quiroz, Griselda
Keywords: Healthcare management, disease control, critical care; Identification and validation; Pharmacokinetics and drug delivery 
Abstract: Expectations for the future of control engineering approaches in medical applications are very high. Nonetheless, several significant technical challenges such as the incorporation of multiscale data, delayed and infrequent measurements as well as poor model representations of biological systems stand on the way. The proposed invited track session aims to exchange ideas on on-going efforts and obstacles by the members of the control engineering community in different biological and medical applications. Furthermore, this invited track will bring together the key challenges, insights, tools and theoretical developments arising from personalized medicine such as: Optimal and sub-optimal control strategies to tailor therapies in different diseases; Observers with sampled measurements available after time-varying intervals; Development of control and observers with time delay; Applications of data-driven modelling and machine learning in control of diseases; Control of complex biological networks. For more details of the invited track follow us in Twitter twitter.com/Ifac2020S
Code for submitting contributions: 5a75x
Category: 8.2. Modeling and Control of Biomedical Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Modelling for supervision, fault diagnosis and prognosis of water systems
Track proposers: Blesa, Joaquim; Torres, Lizeth; Duviella, Eric
Keywords: Hydroinformatics; Modeling and identification of environmental systems; Water quality and quantity management 
Abstract: The impact of climate change, population growth and industrial development throughout the world has forced water managers to increase the efficiency of water resources. Management strategy based on control, diagnosis and prognosis of malfunctions plays a crucial role in improving such an efficiency. Regarding this challenge, it will not be enough to rely only on traditional approaches to solve the problem of control, diagnosis and prognosis. More advanced techniques are required for water systems since their characteristics are the following: complexity, large-scale, non-linearity, time-varying delays, several unknown inputs/outputs, interacting with human activities. Therefore, more advanced techniques need to be developed and utilized. Firstly, it is necessary to optimize the placement of sensors and actuators required for the control, diagnosis and prognosis. Later on, improved models are required to better understand and reproduce the dynamics of water systems. Finally, advanced techniques of supervision, fault diagnosis, prognosis and predictive maintenance can be implemented in order to guaranty the operating condition, promptly and continuously detect errors and abnormal events that guarantee the efficiency of the water management face to faults, components wear and uncertainties affecting the system. The goal of this invited session is to present new advances in modelling for supervision, fault diagnosis and fault tolerant control approaches designed for water systems to maintain high levels of performance, reliability and longevity in their management. This Open Invited Track is proposed in the framework of the IFAC TC 8.3 Modelling and control of environmental systems, but not limited to.
Code for submitting contributions: 2q1en
Category: 8.3. Modeling and Control of Environmental Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Predictive Control of large-scale water systems
Track proposers: Duviella, Eric; Lefevre, Laurent; Ocampo-Martinez, Carlos; Maestre, Jose M.
Keywords: Optimal control and operation of water resources systems; Real time control of environmental systems; Modeling and identification of environmental systems 
Abstract: Water networks are large-scale systems that must be controlled to better answer to the Human’ needs. It is particularly true in the context of climate change and population increase. The Automatic Control community has already well contributed in this field by the design of models (predictive model, model dealing with uncertainties) and control algorithms (Model predictive control, optimal control, among many others). The latter topic has found a great interest during the last IFAW WC in 2017. We expect the same interest for the next edition of the IFAW WC since we think that the predictive management of water systems is still an ongoing challenge for the Automatic Control community. The design of predictive and efficient water management strategies can gather multidisciplinary expertise from researchers belonging to computer sciences (machine learning, Artificial Intelligence) and control theory. This track offers the opportunity to exchange ideas and interact between researchers and water managers. Topics of the track include but are no limited to: Modeling of large-scale systems (physical-based or data-based models); Optimization approaches; Robust/Adaptive control; Model predictive control; Centralized control; Decentralized/distributed control; Coalitional control; Nonlinear control ; Hierarchical management/control schemes. This Open Invited Track is proposed in the framework of the IFAC TC 8.3 Modelling and control of environmental systems, but not limited to.
Code for submitting contributions: v8d6n
Category: 8.3. Modeling and Control of Environmental Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Integrated Assessment Modelling for Environmental Systems
Track proposers: Volta, Marialuisa; Guariso, Giorgio; van Nooijen, Ronald Robert Paul; Robba, Michela; Minciardi, Riccardo; Peres, Francois; Carnevale, Claudio; Sun, Liangliang; Niamir, Leila
Keywords: Environmental decision support systems; Modeling and identification of environmental systems; Risk analysis, impact evaluation 
Abstract: Integrated Assessment Modelling (IAM) aims at supporting environmental managers by appraising holistic policies. It is a participative and iterative process in which scientists from different disciplines, policymakers and other stakeholders work together to merge knowledge from multiple domains (engineering, chemistry, physics, social and life sciences, economics, ...) into a single framework, generating structured information useful for policymaking. For this reason, IAM represents a route inversion with respect to a more traditional approach of science, which largely progressed by isolating and studying single domains. IAM integrates models, databases, and tools to assess and, consequently, control the behaviours and the interconnections among environmental, economic, and social systems. Interlinked models of such complex systems are a fertile source of questions for researchers working in the fields of dynamical systems and control theory. Some of these questions are classical, such as: what to measure and how to implement decisions in a chain of dynamical models; but others are very peculiar to IAM: What is the correct level of integration to effectively support decision-making? How can we integrate different sub-models into a whole that is transparent to the users, while preserving their testability and in a way that generates the necessary user confidence? Should we preferably work with a scenario approach or with a receding horizon control? How can we effectively convey the notion of model uncertainty to the users? The open session aims at addressing some of these challenging questions. It will serve as an international forum for interaction among scientists who are interested in defining, testing, and promoting models and methods to support policies for climate change, water resources management, air quality, agriculture, and any other activity that has an impact on human life or the environment itself.
Code for submitting contributions: 88bq7
Category: 8.3. Modeling and Control of Environmental Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Control and estimation problems in water systems
Track proposers: Laleg, Taous-Meriem; Diagne, Mamadou; van Nooijen, Ronald Robert Paul
Keywords: Optimal control and operation of water resources systems; Water quality and quantity management 
Abstract: This open invited track is proposed for inclusion in the IFAC world congress 2020 to be held in Berlin, Germany, July 12-17th, 2020. It invites contributions in modeling, control and estimation of different water systems and aims at presenting the current advances in this area as well as discussing the challenges and solutions to respond to the increasing water demand. Water systems are complex and offer several research opportunities for the control community to develop new and effective control, supervision and monitoring systems that respond to specific challenges such as the effective water resources distribution, the smart water irrigation, the optimal and cost-effective water desalination and the smart waste water treatment monitoring.
Code for submitting contributions: 26c81
Category: 8.3. Modeling and Control of Environmental Systems
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Trends in control theory at the interface of Systems & Synthetic Biology
Track proposers: Oyarzun, Diego A.; Waldherr, Steffen; Khammash, Mustafa H.
Keywords: Modeling and identification; Dynamics and control; Industrial biotechnology 
Abstract: Biology offers exciting opportunities for new research in feedback control. This synergy has produced a large body of bioinspired control theory and, moreover, classic control concepts such as robustness and integral control are rapidly becoming commonplace in systems biology research. Currently we are amidst a groundbreaking wave of new control applications in biology, inspired by the birth of synthetic biology as a new paradigm in biological engineering. This open track will collate submissions on control applied to the analysis and design of biomolecular systems. We welcome theoretical contributions in systems biology, as well as applications in synthetic biology, biotechnology and biomedicine. Given the breadth and popularity of this field, the track will help establishing systems and synthetic biology as core domains in the control community. Technical committee: 8.4 Biosystems and Bioprocesses Session website: tinyurl.com/y58na93b
Code for submitting contributions: uwi99
Category: 8.4. Biosystems and Bioprocesses
Main Theme: 8. Bio- and Ecological Systems
Detailed information: pdf

Title: Control for Smart Cities
Track proposers: Jia, Qing-Shan; Dotoli, Mariagrazia; Parisio, Alessandra; Cassandras, Christos G.; Malikopoulos, Andreas
Keywords: Building Automation; Intelligent Transportation; Urban Healthcare 
Abstract: The modern societies have witnessed tremendous development and changing in cities in the past decades. Control has played critical component in this process. The purpose of this open invited track is to gather up-to-date models, methods, stories, and experiences in the field of Control for Smart Cities. There are indeed many exciting things going on in this field, from smart buildings to intelligent transportation, from mobility to healthcare, from water system to pollution control, from energy efficiency to cyber security, just to name a few. In order to make cities smart, a technological infrastructure is required to connect networks of sensors and actuators embedded throughout the urban terrain, and to interact with wireless mobile devices. Smart city is a great example for cyber-physical systems and internet of things. Development in these highly related fields are also welcome to this track, with a focus on the application to Control for Smart City.
Code for submitting contributions: aiead
Category: 9.3. Smart Cities
Main Theme: 9. Social Systems

Title: Benchmarks and Case Studies for Control Education
Track proposers: Rossiter, J. Anthony; Visioli, Antonio; Serbezov, Atanas; Akova, Katarina
Keywords: Teaching curricula developments for control and other engineers; Centralized Internet repository for control education; Balance issues of theoretical-versus-practical training 
Abstract: While there are many good text books and good practice for introductory control courses, this can be somewhat of a minefield for academics trying to identify what resources to use, what topics to include, how to assess or teach and, more specifically, what examples would constitute expected levels of performance and comprehension (for different year groups and levels). The purpose of this session is to bring together a number of examples of benchmarks or case studies around which academics can build some of their course design with confidence. We would expect contributors to provide creative commons access to suitable resources as part of their submission. Also, there needs to be an emphasis in the submission as to why the proposal should be considered a benchmark rather than just a useful teaching resource.
Code for submitting contributions: egi6v
Category: 9.4. Control Education
Main Theme: 9. Social Systems

Title: Past, present and future: technology developments in view of their impact on society, the environment and international stability
Track proposers: Stapleton, Larry; Brandt, Dietrich; Gill, Karamjit S; Groumpos, Peter; O'Neill, Brenda; Hersh, Marion A.; Hancke, Tania
Keywords: Knowledge Society; Climate change; Ethics 
Abstract: Abstract We would like to invite you all within IFAC 2020 to contribute to our critical discussion in order to develop further the awareness concerning our future as humans in view of technology development. Considering the complexity of these themes, we need a discourse with a wide spectrum of participants. Thus the session would mean: weighing facts and extrapolations jointly in a thoughtful manner. Therefore we are aiming at this special session format of Open Invited Track. It may take place during this Conference in addition to the usual approach of the Conference to present formal research-based papers within the paper sessions. We are inviting all our colleagues to join us in this discourse by submitting an Extended Abstract of 2-4 pages within the paper submission period as set by IFAC. As a first suggestion of themes to be discussed while looking back and looking ahead, we are putting forward the following list which of course is in no way exclusive: Human Centred Systems (HCS) – a Retrospective, specifically: Human-Machine Symbiotics and Intelligent Control Coming technologies in view of Artificial Intelligence, Climate change, Environmental Threats and International Stability Honouring Human Knowledge in Human–Machine Systems Design: The ironies of complex automated systems and how to address them The Curation of Complex Cultural Artefacts in view of Artificial Intelligence Ethical Dimensions of Machine Learning in the Workplace, Social Responsibility, and Engineering Ethics: Can we imagine a New Manifesto for Systems Engineering Design and a new Hippocratic Oath as we are going into the 2020s?
Code for submitting contributions: m3543
Category: 9.5. Technology, Culture and International Stability
Main Theme: 9. Social Systems