Scope of Technical Committees

Brief description of topics of each Technical Committee and list of related keywords (status August 2020).

The technical work of IFAC is performed by the Technical Board (TB) including the Coordinating Committees (CCs). The Technical Board (TB) forms Technical Committees and oversees their work and coordinates the activities of the different Technical Committees through the Technical Board members. The TB is responsible for the final decision regarding symposia, conferences, workshops and other technical meetings as proposed by the Technical Committees. The TB also advises the Council on all technical matters and makes recommendations with respect to technical meetings, publications, and on the technical content of the triennial Congress. Each CC consists of a number of Technical Committees (TCs). The Technical Committees (TCs) are responsible for the planning and monitoring of technical events, such as symposia, conferences and workshops, with the NMOs acting as hosts. They also promote their respective areas in other ways, such as establishing contacts with other international organizations, publishing reports on selected topics, etc. The IFAC TCs cover specialized topics in control engineering. Their tasks among many others include promoting interest in emerging control subfields, assuming responsibility for technical meetings (or for series of such), providing for cooperation among specialists of their particular field, etc.

Each one of the nine Coordinating Committees (CCs) consists of a number of Technical Committees (TCs). Each TC coincides with a technical area within the CC. The scope of each technical area is described below.

The keywords are the ones used for the 2020 IFAC World Congress.

All links to Technical Committees Web pages and the respective chairs can be found at:
https://www.ifac-control.org/areas

1 SYSTEMS AND SIGNALS

1.1 Modelling, Identification, and Signal Processing

All aspects of system modelling and identification, from theoretical and methodological developments to practical applications.

Keywords: Bayesian methods; Machine Learning ; Channel estimation/equalisation; Particle filtering/Monte Carlo methods; Software for system identification; Learning for control; Subspace methods; Errors in variables identification; Fault detection and diagnosis; LPV system identification; Filtering and smoothing; Frequency domain identification; Mechanical and aerospace estimation; Identifiability; Nonparametric methods; Vibration and modal analysis; Bounded error identification; Continuous time system estimation; Frequency domain identification; Hybrid and distributed system identification; Dynamic Networks; Nonlinear system identification; Recursive identification; Closed loop identification; Grey box modelling; Identification for control; Experiment design; Randomized methods; Time series modelling; Model Validation;

1.2 Adaptative and Learning Systems

Methods for analysis and design of control systems where model uncertainty is compensated for using adaptation and learning techniques, including adaptive state observers, adaptive parameter estimators, adaptive predictors, adaptive filters, ....

Keywords: Model reference adaptive control; Nonlinear adaptive control; Adaptive observer design; Stochastic adaptive control; Extremum seeking & model free adaptive control; Iterative & Repetitive learning control; Concensus & Reinforcement learning control;  Adaptive gain scheduling autotuning control & switching control;  adaptive control of multi-agent systems;  Neural and fuzzy adaptive control;

1.3 Discrete Event and Hybrid Systems

All aspects of analysis and control of Discrete Event Systems and Hybrid Systems.

Keywords: Discrete 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;

1.4 Stochastic Systems

All aspects related to probabilistic and statistical methods in modelling, identification, estimation and control.

Keywords: Stochastic control and game theory; Stochastic system identification; Estimation and filtering; Realization theory; Synthesis of stochastic systems;

1.5 Networked Systems

All aspects related to distributed and interconnected systems of systems (networks of dynamical systems and agents) and control systems exploiting digital communication networks.

Keywords: Consensus; 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 under data loss and delays; Distributed control and estimation; Networked robotic systems; Secure networked control systems; Distributed optimisation for large-scale systems;

2 DESIGN METHODS

2.1 Control Design

Various topics in the design of feedback systems, including data-based control, fault tolerant control, switching control, supervision and computational techniques.

Keywords: Adaptive control; Analytic design; Control in neuroscience; Control in system biology; Controller constraints and structure; Data-based control; Decentralized control; Digital implementation; Fault-tolerant; Model validation; Observer design; Parametric optimization; Supervision and testing; Switching stability and control;

2.2 Linear Control Systems

Study and investigation on structural properties, analysis and synthesis of linear dynamical systems, including n-D, infinite dimensional, singular, positive, fractional, delayed, time and structure varying systems.

Keywords: Time-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; Diagnosis; Polynomial methods; Process control;

2.3 Non-linear Control Systems

Methods for analysis and design of control systems described by non-linear differential or difference equations including the application of these methods.

Keywords: Aerospace; Anti-windup; Application of nonlinear analysis and design; Chemical engineering; Constrained control; Control of bifurcation and chaos; Control of constrained systems; Control of interconnected systems; Control of switched systems; Control under communication constraints (nonliearity); Delay systems; Discontinuous control; Distributed nonlinear control; Energy systems; Input-to-State Stability; Lagrangian and Hamiltonian systems; Lyapunov methods; Model reduction; Networked systems; Nonlinear cooperative control; Nonlinear observers and filter design; Nonlinear predictive control; Output feedback control; Parameter-varying systems; Passivity-based control; Power systems; Quantized control; Robust control; Sliding mode control; Stability of hybrid systems; Stability of nonlinear systems; Systems biology; Systems with saturation; UAVs;

2.4 Optimal Control

The development and application of theory and methods for solving optimal control and planning problems, the development of numerical optimization methods, as well as the closed-loop implementation of optimal controllers on real-time computer systems and networked architectures. Particular methods include, but are not limited to, the calculus of variations, Pontryagin's maximum principle, dynamic programming, model predictive control, optimization based estimation, and differential games. Control methodologies can be based on first-principles models, data-based models or a combination of both.

Keywords: Optimal control theory; Non-smooth and discontinuous optimal control problems; Control problems under conflict and/or uncertainties; Differential or dynamic games; Stochastic optimal control; Evolutionary algorithms for optimal control; Large-scale optimal control problems; Industrial applications of optimal control; Real-time optimal control; Optimal control of partial differential equations; Optimal control of hybrid systems; Predictive control; Numerical methods for optimal control;

2.5 Robust Control

Modelling of systems affected by uncertainty and the development of computational techniques for analysis, optimal controller synthesis and implementation.

Keywords: Robustness analysis; Sum-of-squares; Robust linear matrix inequalities; Probabilistic robustness; Distributed robust controller synthesis; Robust controller synthesis; Quantitative feedback theory; Robust control applicatons; Robust estimation; Linear parameter-varying systems; Robust time-delay systems; Uncertainty descriptions; Convex optimization; Relaxations; Randomized algorithms;

2.6. Distributed Parameter Systems

Fostering methods and systematics for modeling, analysis, and control/observer design for distributed parameter systems.

Keywords: Motion 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;

3 COMPUTERS, COGNITION AND COMMUNICATION

3.1 Computers for Control                                                     
Embedded and cyber-physical systems for real- time control with special emphasis in model-driven paradigm, modeling languages, verification & validation and certification, execution platforms including multi-core, real-time operating systems, virtualization layer for mixed-criticality systems and networks. Scheduling methods and real-time networks, as well as control techniques for computer systems.

Keywords: Embedded 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;

3.2 Computational Intelligence in Control
Focuses on all aspects of knowledge-based, fuzzy and neuro-fuzzy and neural (both, artificial and biologically plausible) systems and evolutionary algorithms relevant to control, both in theory and application driven.

Keywords: Knowledge-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;

3.3 Telematics: Control via Communication Networks        
Computerized and telecommunication-based automation systems providing services to remote equipment for tele-operation, tele-maintenance, tele-medicine and tele-education, and their methodologies.

Keywords: Telecommunication-based automation systems; Remote servicing; Remote and distributed control; Remote sensor data acquisition; Internet of things; Tele-presence; Tele-robotics; Tele-maintenance; Tele-medicine; Tele-education; Traffic control systems; Smart energy grids; Spacecraft servicing;

4 MECHATRONICS, ROBOTICS AND COMPONENTS

4.2 Mechatronics Systems

The synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and processes.

Keywords: Smart Structures; Vibration control; Hardware-in-the-loop simulation; Design methodologies; Application of mechatronic principles; Mechatronic systems; Modeling; Identification and control methods; Motion Control Systems; Micro and Nano Mechatronic Systems; Human and Robot Mechatronics; Mechatronics for Mobility Systems; Biomedical Mechatronics;  Mechatronics;

4.3 Robotics

Robots manipulators and stationary robots, mobile and flying robots, autonomous systems, tele-robotics and internet robots. Intelligent robotics, perception and sensing, information and sensor fusion, guidance, navigation and control.

Keywords: Robotics technology; Flying robots; Mobile robots; Perception and sensing; Autonomous robotic systems; Guidance navigation and control; Telerobotics; Embedded robotics; Intelligent robotics; Robots manipulators; Information and sensor fusion; Networked robotic system modeling and control; telepresence; field robotics; robot ethology;

4.5 Human-Machine Systems

All conditions where humans (individuals as well as groups) use control or supervise tools, machines or technological systems.

Keywords: Decision-making support; Cognitive systems engineering; Modeling of human performance; Work in real and virtual environments; Design, modeling and analysis of HMS; Task/functional allocation; Intelligent interfaces; Human operator support; Multi-modal interaction; Ajustable or adaptive autonomy; Resilience of HMS; Human-centered automation and design; Human-centered computing; Co-Learning and self-learning; Shared control, cooperation and level of automation; Knowledge engineering and knowledge-based systems; Assistive technology and rehabilitation engineering; Brain-machine interaction; Security and safety of HMS;

5 CYBER-PHYSICAL MANUFACTURING ENTERPRISES

5.1 Manufacturing Plant Control

All applications of automation, information and communication technologies in order to control the manufacturing plant within the e-enterprise.

Keywords: Device 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;

5.2 Management and Control in Manufacturing and Logistics

Models of e-manufacturing and supply chain systems, for production and service management, design, and control in communication and Internet based enterprises.

Keywords: Modeling 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;

5.3 Integration and Interoperability of Enterprise Systems (I2ES)

Theory and Models of Integration and Interoperability of Enterprise Systems, with special attention to Production and Manufacturing.

Keywords: Enterprise Reference Models and Their Verification, Validation, and Accreditation; Collaborative networked organizations principles;  Enterprise networks design and implementation;  Enterprise Networking;  Enterprise Application Integration;  Collaborative Control;  Enterprise Architecture;  Enterprise Interoperability;  Enterprise Integration;  Enterprise Modelling;  Business Process Management;  Model Driven Systems Engineering;  Systems-of-Systems;  Internet-of-Things and Sensing Enterprise;  Digital enterprise;  Internet of Sevices and Service Science;

5.4 Large Scale Complex Systems

Theory of complex systems, decentralized control and estimation, decision-making, hierarchical optimization and control, networked/interconnected systems, communication-based information systems.

Keywords: Decentralized 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;

6 PROCESS AND POWER SYSTEMS

6.1 Chemical Process Control

Development of new control techniques and algorithms for application in pilot and industrial-sized plants that involve the knowledge of chemistry and, increasingly, biology.

Keywords: 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; Industrial 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;

6.2 Mining, Mineral and Metal Processing

All aspects of modeling, automation, control and optimization in the field of mining, mineral and metal processing.

Keywords: Identification and modelling ; Image processing; nonlinear time series analysis; process observation and parameter estimation; Data mining and statistical analyses; Fault diagnosis and fault tolerant control; Advanced process control; Robotics and mechatronics; Monitoring of product quality and control performance; Process optimization; Nonlinear control and optimization; Maintenance scheduling and production planning;; Expert systems in process industry; Neural networks in process control; Neural fuzzy modelling and control; Artificial intelligence techniques; mineral processing; ore preparation; flotation; soft sensing; iron making; steel making; manufacturing; production of ferrous & nonn-ferrous metal; hot/cold rolling; heat treatment; annealing; galvanizing;

6.3 Power and Energy Systems

All aspects of modelling, operation, and control of power and energy systems.

Keywords: Modeling 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;

6.4 Fault Detection, Supervision & Safety of Technical Processes - SAFEPROCESS

On-line fault and cyber-attack detection, isolation, estimation, and diagnosis, with a view to predictive maintenance and supervision, as well as fault tolerant, sustainable and cyber-secure control.

Keywords: Active 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;

7 TRANSPORTATION AND VEHICLES SYSTEMS

7.1 Automotive Control

Modeling, supervision, control, and diagnosis of automotive systems, power trains, vehicle dynamic systems, automotive sensors, integrated traffic, and in-vehicle communication.

Keywords: Modeling, 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;

7.2 Marine Systems

Theory and application of control engineering and artificial intelligence techniques to the maritime field. Navigation, guidance and control, monitoring and surveillance, fault diagnosis, optimization, planning, modelling, identification, human factors and control architectures.

Keywords: Marine 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;

7.3 Aerospace

Dynamics, control, and mission control of all aeronautical and space related vehicles and vehicle systems.

Keywords: Control 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;

7.4 Transportation Systems

Ground transportation systems (road and guided transport) and air traffic control systems for both passengers and transported goods.

Keywords: Modeling 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; Navigation; Transportation logistics; Safety; Simulation; Intelligent transportation systems; Freight transportation; autonomic transport systems;

7.5 Intelligent Autonomous Vehicles

Generic system methodologies and technologies applicable to intelligent autonomous vehicles including mobile robots on land, at sea, or in space.

Keywords: Autonomous 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; Localization; 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; Sensing; Sensor integration and perception; Teleoperation; Trajectory and Path Planning; Trajectory Tracking and Path Following;

8 BIO AND ECOLOGICAL SYSTEMS

8.1 Control in Agriculture

Control aspects of agricultural processes. Methodologies for crop production and animal husbandry, post-harvest processes (grading, drying, storage of crops), food processing (quality and safety). Environmental and climate control of greenhouses, warehouses and animal houses, energy issues.

Keywords: Modeling and control of agriculture; Greenhouse control; Animal husbandry; Crop processes; CFD in agriculture; Bioresponses; Bio-energetics; 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 AI in agriculture; Standardisation in agriculture; Man-machine systems in agriculture; Agricultural ergonomic;

8.2 Biological and Medical Systems

Applications of systems, modelling, informatics and control concepts, methodology and techniques in biology, physiology, medicine and healthcare.

Keywords: Model 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;

8.3 Modelling and Control of Environmental Systems

Monitoring, modelling and control of environmental systems with the aim of designing methodologies and tools to support the development and implementation of sustainable, cost-effective and socially acceptable decision-making processes.

Keywords: 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; Hydroinformatics; 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;

8.4 Biosystems and Bioprocesses

Promotion of research and development in all major areas of biotechnology where computers are used to aid bioprocess design, supervision, diagnosis, operation, optimisation and control.

Keywords: Modeling and identification; Parameter and state estimation; Fault diagnosis; Monitoring; Dynamics and control; Scheduling, coordination, optimization; Data mining tools; Bioinformatics; 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;

9 SOCIAL SYSTEMS

9.1 Economic, Business and Financial Systems

Modelling and control of economic, management, and business systems. Optimization, decision and control in economics, business and finance. Interface between engineering and economic/business techniques and approaches.

Keywords: Econometric 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;

9.2 Systems and Control for Societal Impact

Stimulate research and education on the fundamental and applied systems and control approaches, including their combinations with learning, optimization, communication (5G), human, and social sciences, for societal and environmental impact.

Keywords: Cognitive 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;

9.3 Control for Smart Cities

Promote research and education of control for smart cities, includes but is not limited to buildings, transportation systems, water system management, pollution monitoring and control systems.

Keywords: Building 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;

9.4 Control Education

Education issues in control engineering. Methodology for improving the theory, practice, accessibility of control systems education. Control Engineering Textbook Prize nomination.

Keywords: Teaching 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;

9.5 Technology, Culture and International Stability (TECIS)

Identification, definition, and improvement of factors which significantly influence international and regional stability, cultural diversity and inclusion. Socially responsible applications of control and automation systems.

Keywords: International Development; Ethics; Policy; Systems Theory; Modelling Social and Environmental Change; Conflict and Post-conflict; Digital Divide; Knowledge networks; Developing Regions; Multi-cultural interaction; Sustainability; Complexity modelling; Ethnicity; Value systems; Globalisation; Knowledge Society; Security; Privacy; eHealth; Service Engineering Applications; Intrastructure (including energy, telecoms, political, physical etc.); Cost-Oriented Automation; Reusability; Climate change; Forecasting; Migration; Criminality; Control and Automation Systems for International Aid; eAgriculture;


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