Categories and Keywords

The IFAC 2020 call for papers concerns any contribution within the scope covered by the nine IFAC technical areas, which are

The associated keywords are listed in the table below, and classified according to IFAC technical committees. When submitting a contribution to IFAC 2020, authors are invited to select one area among the nine listed above, and then to choose up to three keywords among the ones listed for that area. Evaluation of the contribution will a priori be done by the technical committee associated to the first keyword. 


CC1 Systems and Signals 
TC 1.1. Modeling, Identification and Signal ProcessingBayesian methods
 Channel estimation/equalisation
 Dynamic Networks
 Particle filtering/Monte Carlo methods
 Software for system identification
 Subspace methods
 Errors in variables identification
 Fault detection and diagnosis
 Filtering and smoothing
 Mechanical and aerospace estimation
 Nonparametric methods
 Vibration and modal analysis
 Bounded error identification
 Continuous time system estimation
 Frequency domain identification
 Hybrid and distributed system identification
 Nonlinear system identification
 Recursive identification
 Closed loop identification
 Grey box modelling
 Identification for control
 Input and excitation design
 Time series modelling
 Experiment design
 Learning for control
 LPV system identification
 Machine learning
 Randomized methods
TC 1.2. Adaptive and Learning SystemsAdaptive control of multi-agent systems
 Adaptive gain scheduling autotuning control and switching control
 Extremum seeking and model free adaptive control
 Iterative and Repetitive learning control
 Consensus and Reinforcement learning control
 Neural and fuzzy adaptive control
 Stochastic adaptive control
 Adaptive observer design
 Model reference adaptive control
 Nonlinear adaptive control
TC 1.3. Discrete Event and Hybrid SystemsDiscrete event modeling and simulation
 Petri nets
 Supervisory control and automata
 Queueing systems and performance model
 Max-plus algebra
 Diagnosis of discrete event and hybrid systems
 Hybrid and switched systems modeling
 Stochastic hybrid systems
 Quantized systems
 Stability and stabilization of hybrid systems
 Model predictive control of hybrid systems
 Optimal control of hybrid systems
 Event-based control
 Reachability analysis, verification and abstraction of hybrid systems
TC 1.4. Stochastic SystemsStochastic control and game theory
 Stochastic system identification
 Estimation and filtering
 Realization theory
 Synthesis of stochastic systems
TC 1.5. Networked SystemsConsensus
 Complex system management
 Control of networks
 Control over networks
 Multi-agent systems
 Coordination of multiple vehicle systems
 Networked embedded control systems
 Sensor networks
 Control under communication constraints
 Control under computation constraints
 Control and estimation with data loss
 Distributed control and estimation
 Networked robotic systems
 Distributed optimisation for large-scale systems
 Secure networked control systems
CC2 Design Methods 
TC 2.1. Control DesignDecentralized control
 Data-based control
 Supervision and testing
 Digital implementation
 Switching stability and control
 Control in neuroscience
 Control in system biology
 Controller constraints and structure
 Model validation
 Adaptive control
 Parametric optimization
 Analytic design
 Observer design
TC 2.2. Linear Control SystemsTime-invariant systems
 Time-varying systems
 N-dimensional systems
 Infinite-dimensional systems
 Complex systems
 Fractional systems
 Positive systems
 Systems with time-delays
 Descriptor systems
 Linear systems
 Structural properties
 Linear multivariable systems
 Disturbance rejection (linear case)
 Decoupling problems
 Regulation (linear case)
 Model following control
 Output feedback control (linear case)
 Robust control (linear case)
 Observers for linear systems
 Polynomial methods
 Process control
TC 2.3. Non-Linear Control SystemsAsymptotic stabilization
 Output regulation
 Disturbance rejection
 Output feedback control
 Robust control
 Control of constrained systems
 Nonlinear observers and filter design
 Constrained control
 Delay systems
 Parameter-varying systems
 Lyapunov methods
 Stability of nonlinear systems
 Stability of hybrid systems
 Control of switched systems
 Systems with saturation
 Model reduction
 Networked systems
 Sliding mode control
 Discontinuous control
 Quantized control
 Control under communication constraints (nonliearity)
 Nonlinear cooperative control
 Passivity-based control
 Distributed nonlinear control
 Control of interconnected systems
 Input-to-State Stability
 Control of bifurcation and chaos
 Lagrangian and Hamiltonian systems
 Nonlinear predictive control
 Systems biology
 Power systems
 Energy systems
 Chemical engineering
 Application of nonlinear analysis and design
TC 2.4. Optimal ControlOptimal control theory
 Singularities in optimization
 Non-smooth and discontinuous optimal control problems
 Control problems under conflict and/or uncertainties
 Differential or dynamic games
 Stochastic optimal control problems
 Evolutionary algorithms for optimal control
 Large scale optimization problems
 Predictive control
 Optimal control of hybride systems
 Optimal control of partial differential equations
 Numerical methods for optimal control
 Industrial applications of optimal control
 Real-time optimal control
TC 2.5. Robust ControlRobustness analysis
 Robust linear matrix inequalities
 Probabilistic robustness
 Distributed robust controller synthesis
 Robust controller synthesis
 Quantitative feedback theory
 Robust control applications
 Robust estimation
 Linear parameter-varying systems
 Robust time-delay systems
 Uncertainty descriptions
 Convex optimization
 Randomized algorithms
TC 2.6 Distributed parameter systemsmotion planning for distributed parameter systems
 port Hamiltonian distributed parameter systems
 control of hyperbolic systems and conservation laws
 backstepping control of distributed parameter systems
 fractional-order systems
 infinite-dimensional multi-agent systems and networks
 control of fluid flows and fluids-structures interactions
 model predictive control for distributed parameter systems
 control and estimation of wave equations and systems of elasticity
 well-posed distributed parameter systems
 system identification and adaptive control of distributed parameter systems
 controllability and observability of distributed parameter systems
 disturbance estimation and sliding mode control of distributed parameter systems
 stability of distributed parameter systems
 stability of delay systems
 delay compensation for linear and nonlinear systems
 thermal and process control applications of distributed parameter systems
 control of quantum and Schroedinger systems
 hysteresis modeling and control
 model reduction of distributed parameter systems
 output regulation for distributed parameter systems
 control of heat and mass transfer systems
 semigroup and operator theory
CC3 Computers, Cognitiona and Communication 
TC 3.1. Computers for ControlEmbedded computer control systems and applications
 Embedded computer architectures
 Real-time algorithms, scheduling, and programming
 Logical design, physical design, and implementation of embedded computer systems
 Programmable logic controllers
TC 3.2. Computational Intelligence in ControlKnowledge-based control
 Fuzzy and neural systems relevant to control and identification
 Evolutionary algorithms in control and identification
 Reinforcement learning control
 Robust neural and fuzzy control
 Adaptive neural and fuzzy control
TC 3.3. Telematics: Control via Communication NetworksTelecommunication-based automation systems
 Remote servicing
 Remote and distributed control
 Remote sensor data acquisition
 Internet of things
 Traffic control systems
 Smart energy grids
 Spacecraft servicing
CC Mechatronics, Robotics and Components  
TC 4.2. Mechatronic SystemsSmart Structures
 Vibration control
 Hardware-in-the-loop simulation
 Design methodologies
 Application of mechatronic principles
 Mechatronic systems
 Identification and control methods
 Motion Control Systems
 Micro and Nano Mechatronic Systems
 Human Mechatronics
 Mechatronics for Mobility Systems
 Biomedical Mechatronics
TC 4.3. RoboticsRobotics technology
 Flying robots
 Mobile robots
 Perception and sensing
 Autonomous robotic systems
 Guidance navigation and control
 Embedded robotics
 Intelligent robotics
 Robots manipulators
 Information and sensor fusion
 Networked robotic system modeling and control
 field robotics
 robot ethology
TC 4.5. Human Machine SystemsDecision making support
 Modeling of human performance
 Work in real and virtual environments
 Brain-machine interaction
 Task and functional allocation
 Intelligent interfaces
 Human operator support
 Multi-modal interaction
 Human-centred computing
 Cognitive systems engineering
 Ajustable or adaptive autonomy
 Resilience of HMS
 Human-centred automation and design
 Co-Learning and self-learning
 Shared control, cooperation and degree of automation
 Knowledge modelling and knowledge based systems
 Assitive technology and rehabilitation engineering
 Security and safety of HMS
 Design, modelling and analysis of HMS
CC Manufacturing and Logistics Systems  
TC 5.1. Manufacturing Plant ControlDevice integration technologies
 Production & logistics over manufacturing networking
 Manufacturing automation over networks
 Industrial communication protocols
 Dependable manufacturing systems control
 Discrete event systems in manufacturing
 Maintenance models and services
 Intelligent maintenance systems
 Assembly and disassembly
 Manufacturing plant control
 RFId and ubiquitous manufacturing
 Life-cycle control
 e-Manufacturing technologies and facilities
 Intelligent manufacturing systems
 Holonic manufacturing systems
 Flexible and reconfigurable manufacturing systems
 Bio-inspired manufacturing systems and self-organization
 Multi-agent systems applied to industrial systems
TC 5.2. Manufacturing Modeling for Management and ControlModeling of manufacturing operations
 Modeling of assembly units
 Production activity control
 Process supervision
 Quality assurance and maintenance
 Procedures for process planning
 Production planning and control
 Job and activity scheduling
 Logistics in manufacturing
TC 5.3. Enterprise Integration and NetworkingCollaborative networked organizations principles
 Enterprise Reference Models and Their Verification, Validation, and Accreditation
 Enterprise networks design and implementation
 Enterprise modelling and BPM
 Enterprise integration
 Protocols and information communication
 Model-driven systems engineering
 Business process management systems
 Systems interoperability
 Internet-of-Things and Sensing Enterprise
 Digital enterprise
 Internet of Services and Service Science
TC 5.4. Large Scale Complex SystemsDecentralized and distributed control
 Multiagent systems
 Optimization and control of large-scale network systems
 Water supply and distribution systems
 Complex logistic systems
 Intelligent decision support systems in manufacturing
 Modelling and control of hybrid and discrete event systems
 Identification and model reduction
 Intelligent system techniques and applications
 Konwledge discover (data mining)
 Hierarchical multilevel and multilayer control
 Modelling and decision making in complex systems
 Monitoring and control of spatially distributed systems
 Methodologies and tools for analysis of complexity
 Integrated monitoring, control and security for critical infrastructure systems
 Efficient strategies for large scale complex systems
 Distributed nagigation and control of unmmanned autonomous vehicles
CC Power and Process Systems  
TC 6.1. Chemical Process ControlIndustrial applications of process control
 Process control applications
 Applications in semiconductor manufacturing
 Applications in advanced materials manufacturing
 Batch and semi-batch process control
 Estimation and control in biological systems
 Advanced control technology
 Control of micro- and nano-systems
 Control of particulate processes
 Control and optimization of supply chains
 Real time optimization and control
 Control of distributed systems
 Model predictive and optimization-based control
 Nonlinear model reduction
 Nonlinear process control
 Estimation and fault detection
 Process modeling and identification
 Control of large-scale systems
 Monitoring and performance assessment
 Interaction between design and control
 Control of multi-scale systems
TC 6.2. Mining, Mineral and Metal ProcessingMeasurement and instrumentation
 Identification and modelling
 Process observation and parameter estimation
 Data mining and multivariate statistics
 Fault diagnosis and fault tolerant control
 Advanced process control
 Monitoring of product quality and control performance
 Process optimisation
 Maintenance scheduling and production planning
 Expert systems in process industry
 Neural networks in process control
 Neural fuzzy modelling and control
 Artificial intelligence
TC 6.3. Power Plants and Power SystemsModeling and simulation of power systems
 Smart grids
 Power systems stability
 Dynamic interaction of power plants
 Constraint and security monitoring and control
 Control system design
 Test and documentation
 Real time simulation and dispatching
 Instrumentation and control systems
 Intelligent control of power systems
 Distribution automation
 Impact of deregulation on power system Control
 Analysis and control in deregulated power systems
 Optimal operation and control of power systems
 Control of renewable energy resources
 Application of power electronics
TC 6.4. Fault Detection, Supervision and Safety of Technical ProcessActive Fault Diagnosis
 AI methods for FDI
 Analysis of reliability and safety
 Applications of FDI and FTC
 Computational methods for FDI
 Condition Monitoring
 Design of fault tolerant/reliable systems
 Distributed Fault Diagnosis
 Distributed Fault-tolerant Control
 Fault accommodation and Reconfiguration strategies
 FDI based on qualitative models
 FDI for discrete-event systems
 FDI for hybrid systems
 FDI for linear systems
 FDI and FTC for networked systems
 FDI for nonlinear Systems
 FDI with sliding modes
 Filtering and change detection
 Filtering and estimation for FDI
 Methods based on neural networks and/or fuzzy logic for FDI
 Methods based on discrete event models, on hybrid or on qualitative models for FDI
 Observer based and parity space based methods for FDI
 Parameter estimation based methods for FDI
 Petri net-based fault diagnosis
 Process performance monitoring/statistical process control
 Reconfigurable control, sensor and actuator faults
 Signal and identification-based methods
 Signal processing for FDI
 Statistical methods/signal analysis for FDI
 Structural analysis and residual evaluation methods
CC Transportation and Vehicle Systems  
TC 7.1. Automotive ControlModeling, supervision, control and diagnosis of automotive systems
 Engine modelling and control
 Vehicle dynamic systems
 Intelligent driver aids
 Fuel cells for Automotive Applications
 Hybrid and alternative drive vehicles
 Integrated traffic management
 General automobile/road-environment strategies
 System integration and supervision
 Distributed discrete-event systems
 Automotive sensors and actuators
 In-vehicle communication networks
 Man-machine interfaces
 Information displays/system
 Automotive system identification and modelling
 Kalman filtering techniques in automotive control
 Adaptive and robust control of automotive systems
 Nonlinear and optimal automotive control
 Control architectures in automotive control
 Electric and solar vehicles
TC 7.2. Marine SystemsMarine system navigation, guidance and control
 Dynamic positioning
 Autonomous underwater vehicles
 Unmanned marine vehicles
 Autonomous surface vehicles
 Neural networks
 Fuzzy logic in marine systems
 Genetic algorithms in marine systems
 Marine system identification and modelling
 Decision support systems in marine systems
 Coordinated control
 Cooperative control
 Kalman filtering techniques in marine systems control
 Sensors and actuators
 Adaptive and robust control in marine system
 Nonlinear and optimal marine system control
 Control architectures in marine systems
 Acoustic-Based Networked Control and Navigation
TC 7.3. AerospaceControl of systems in vehicles
 High accuracy pointing
 Man-in-the-loop systems
 Autonomous systems
 Guidance, navigation and control of vehicles
 Avionics and on-board equipments
 Flight dynamics identification, formation flying
 Health monitoring and diagnosis
 Decision making and autonomy, sensor data fusion
 Mission control and operations
 Micro-nano-aerospace vehicles/satellites
 Space exploration and transportation
TC 7.4. Transportation SystemsModeling and simulation of transportation systems
 Automatic control, optimization, real-time operations in transportation
 Information processing and decision support
 Man-machine interface in transportation
 Human factors in vehicular system
 Transportation logistics
 Intelligent transportation systems
 Freight transportation
 autonomic transport systems
TC 7.5. Intelligent Autonomous VehiclesAutonomous Mobile Robots
 Autonomous Vehicles
 Cooperative navigation
 Cooperative perception
 Decentralized Control and Systems
 Fault Detection, Diagnosis, Identification, Isolation and Tolerance for Autonomous Vehicles
 Human and vehicle interaction
 Learning and adaptation in autonomous vehicles
 Map building
 Mechanical design of autonomous vehicles
 Mission planning and decision making
 Motion control
 Multi-vehicle systems
 Navigation, Guidance and Control
 Networks of robots and intelligent sensors
 Positioning Systems
 Robot Navigation, Programming and Vision
 Sensor integration and perception
 Trajectory and Path Planning
 Trajectory Tracking and Path Following
CC Bio- and Ecological Systems  
TC 8.1. Control in AgricultureModeling and control of agriculture
 Greenhouse control
 Animal husbandry
 Crop processes
 CFD in agriculture
 Agricultural solar energy use
 Controlled ecological life support systems (CELLS)
 Plant factories
 Biosensors in agriculture
 Software sensors in agriculture
 Speaking organism systems
 Agricultural robotics
 Precision farming
 Post-harvesting and food processing
 Grading systems and Quality assessment
 Wireless sensor networks in agriculture
 Pattern recognition and Artificial Intelligence in agriculture
 Standardisation in agriculture
 Man-machine systems in agriculture
 Agricultural ergonomics
TC 8.2. Modeling and Control of Biomedical SystemsModel formulation, experiment design
 Identification and validation
 Bio-signals analysis and interpretation
 Developments in measurement, signal processing
 Tracer kinetic modeling using various imaging systems
 Biomedical system modeling, simulation and visualization
 Decision support and control
 Cellular, metabolic, cardiovascular, pulmonary, neuro-systems
 Healthcare management, disease control, critical care
 Pharmacokinetics and drug delivery
 Control of physiological and clinical variables
 Biomedical and medical image processing and systems
 Intensive and chronic care or treatment
 Control of voluntary movements, respiration
 Rehabilitation engineering and healthcare delivery
 Kinetic modeling and control of biological systems
 Quantification of physiological parameters for diagnosis and treatment assessment
 Physiological Model
 Clinical trial
 Clinical validation
 Medical imaging and processing
 Artificial pancreas or organs
 Chronic care and/or diabetes
TC 8.3. Modeling and Control of Environmental SystemsNatural and environmental systems
 Modeling and identification of environmental systems
 Machine learning for environmental applications
 Model reduction and dynamic emulation
 Real time control of environmental systems
 Multi source environmental data integration
 Environmental decision support systems
 Optimal control and operation of water resources systems
 Water quality and quantity management
 Water and food security
 Air quality planning and control
 Climate change impact and adaptation measures
 Risk analysis, impact evaluation
 Natural resources management
 Planning and management for participatory decision making
TC 8.4. Biosystems and BioprocessesModeling and identification
 Parameter and state estimation
 Fault diagnosis
 Dynamics and control
 Scheduling, coordination, optimization
 Data mining tools
 Metabolic engineering
 Life cycle analysis/assessment
 Downstream processing
 Integrated bioprocessing
 Microbial technology
 Mammalian, insect and plant cell technology
 Pharmaceutical processes
 Food engineering
 Wastewater treatment processes
 Industrial biotechnology
 Bioenergy production
CC Social Systems  
TC 9.1. Economic, Business, and Financial SystemsEconometric models and methods
 Game theories
 Control in economics
 Agent technology for business and economy
 AI for business and economy
 Financial systems
 Social Signal Processing
 Business and Financial Analytics
 Social Resource Planning and Management
 Social Computing
 Social Manufacturing
 Computational Social Sciences
 Computational Economics
 Data-Driven Decision Making
TC 9.2. Social Impact of AutomationCognitive aspects of automation systems and humans
 Cultural impacts of automation technology
 Cyber-space and societal developments
 Environmental, health and safety implications of automation
 Ethical issues in the cyber-space operations
 Human-centered systems engineering
 Social networking, agile society, and societal intelligence
TC 9.3. Smart CitiesBuilding Automation
 Intelligent Transportation
 Urban Healthcare
 Urban Mobility
 Social Networks
 Connected Vehicles
 Dynamic Resource Allocation
 Off-grid Buildings
 Smart Parking
 Energy Storage Operation and Planning
 Energy and Distribution Management Systems
 Renewable Energy System Modeling and Integration
TC 9.4. Control EducationTeaching curricula developments for control and other engineers
 Balance issues of theoretical-versus-practical training
 University-industry cooperation for training control engineers
 Internet based teaching of control engineering
 Virtual classes, departments, laboratories and schools
 Perspectives of e-learning versus traditional learning
 e-Cooperative development of course labs and materials
 Internationalization of control education: EU credit-transfer system
 Virtual and remote labs
 E-learning in control engineering
 Continuing control education in industry
 Centralized Internet repository for control education
 University-industry co-operation in control engineering education
 Control education using laboratory equipment
TC 9.5. Technology, Culture and International StabilityInternational Development
 Systems Theory
 Modelling Social and Environmental Change
 Conflict and Post-conflict
 Digital Divide
 Knowledge networks
 Developing Regions
 Multi-cultural interaction
 Complexity modelling
 Value systems
 Knowledge Society
 Service Engineering Applications
 Intrastructure (including energy, telecoms, political, physical etc.)
 Cost-Oriented Automation
 Climate change
 Control and Automation Systems for International Aid