Scope of Technical Committees

(status February 2015)

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.


1.1 Modelling, Identification, and Signal Processing

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

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, ....

1.3 Discrete Event and Hybrid Systems

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

1.4 Stochastic Systems

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

1.5 Networked Systems

Aspects related to control systems implemented with communication hardware and communication networks designed using control techniques.


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.

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.

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.

2.4 Optimal Control

Methods for optimal control including large scale simulation and optimization, non-smooth and discrete optimization, optimization under uncertainties, singularities, computational networks, algorithms and IT-based decision support for the control of complex networks.

2.5 Robust Control

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

2.6. Distributed Parameter Systems

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


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.

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.

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.


4.1 Components and Technologies for Control

Components, instruments and embedded systems for process control, perception and positioning systems, robotics and automation, environmental systems, vehicles, and human assistance. Diagnosis, data-fusion, fault tolerance, signal and image processing.

4.2 Mechatronics Systems

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

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.

4.5 Human-Machine Systems

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


5.1 Manufacturing Plant Control

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

5.2 Manufacturing Modelling for Management and Control

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

5.3 Enterprise Integration and Networking

Enterprise-wide Internet-based working models, applications, and protocols. Mathematical control models and applications for enterprise networks. Unified enterprise modelling language.

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.


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.

6.2 Mining, Mineral and Metal Processing

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

6.3 Power and Energy Systems

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

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

On-line fault detection and isolation; fault decision theory; diagnosis, monitoring and supervision based on hardware and analytical redundancy.


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.

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.

7.3 Aerospace

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

7.4 Transportation Systems

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

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.


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.

8.2 Biological and Medical Systems

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

8.3 Modelling and Control of Environmental Systems

Modelling and control methodologies for reliable management of natural resources and prevention and mitigation of environmental hazards and disasters.  

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.


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.

9.2 Social Impact of Automation

Relations between automated systems and social environments, including social effects of automation, requirements for automation development, and environmental and health implications.

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.

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.

9.5 Technology, Culture and International Stability (TECIS)

Identification, definition, and improvement of factors which significantly influence international stability and improve its effectiveness.