Institute of Control Sciences

Main Directions of Scientific Research:
Theory of Control Processes

The theory of control processes is traditionally one of the main directions of the Institute’s fundamental research. Presently, ICS focuses on the following twelve primary areas of research:

• qualitative theory of control processes, (including optimal control)
• control of distributed parameters systems
• control of deterministic and stochastic systems
• theory of observation and estimation
• identification of structures and parameters of controlled systems
• adaptation and robust control
• theory of control of competing and confronting systems
• expert systems and artificial intelligence
• application of analytical and computational research methods for analysis of synthesized system behavior
• development of optimization methods for distributed systems and systems with logical and discontinuous control
• development of methods for estimating the optimal risk in decision making and finding sub optimal decision rules for dynamical objects and information systems.

Development of Methodology of Designing Problem-Oriented Automatic Control Systems

Since the beginning of the sixties the Institute has been intensively solving the problems of production automation on the basis of computers. Some of the first computer-aided control systems constructed in the Former Soviet Union were the result of the participation and scientific guidance of the Institute. Currently, the main directions of the Institute in this field are:

· development of methods and models of planning and on-line control systems for complex manufacturing processes, transportation systems, prospecting and developing of raw materials resources and the natural resources, development of computer-aided control systems in biology, medicine, and sociology;
· development of algorithmic support, software and hardware to realize adaptive and terminal control of moving objects;
· development of the methodology and software and engineering means for CAD-systems;
· development of methods and models to realize computer-aided control of production processes in the agricultural and industrial sector;
· development of methods, description, and means of analysis and control of flexible integrated production;
· automation and computerization of various fields of activity;
· development of software for problem oriented expert systems (diagnostic systems for estimating and forecasting the state of complex dynamic objects).

The main directions of the Institute research in this field are:

· theory and methods of organizing measurement processes in control systems;
· development of construction principles for modern technical means of automation and computer engineering (sensors, processing means based on new physical principles with new functional properties and improved characteristics, new micro- electronic base);
· development of principles to construct computer control systems (parallel computer complexes, super-computers, fault-tolerant systems, local networks);
· development of machine systems software for engineering design (modeling the functioning of parallel computer complexes, designing of the micro- electronic base, diagnostic modeling, solution of complex optimization problems);
· elaboration of methods, recommendations and instructions and guides to provide the reliability of technical facilities (trouble-shooting of potentially unreliable item components, go/no-go testing, individual forecasting of technical component reliability, support of computer system fault-tolerance, communication with the objects);
· elaboration of methods and recommendations of diagnostic support for complex objects (checkability, testability, self-testing, self-testing of discrete objects and diagnosis of dynamical systems).