The Institute of Control and Computation Engineering
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The Institute of Control and Computation Engineering (ICCE) was created in 1955 as the Chair of Automatic Control and Telemechanics by Professor Władysław Findeisen. It was reorganized in 1970 to become the Institute of Automatic Control. Rapid development of microprocessor technology and its impact on the field of control in recent years directed the research interests towards computational and algorithmic aspects of control, decision support, man-machine interfaces, network communications, etc. This resulted in 1994 in a change of the Institute name to the present one. Current research topics can be roughly categorized into areas corresponding to seven Groups within the Institute. The research activities of Biometrics and Machine Learning Group are centered on biologically inspired control and information processing, including biometrics, machine learning, uncertainty modeling, and biological modeling. Biometrics consists in using personal characteristics for identity authentication including pattern recognition for iris, handwritten signature, face image, etc. Machine learning research is focused on reinforcement learning, applied to adaptive control and multi-agent systems. Complex Systems Group concentrates its reaserach efforts on the theory and methodology of model-based predictive repetitive control and hierarchical control structures for non-linear systems under uncertainty, methods for solving continuous and discrete time optimization problems, and software for computer aided analysis and design of complex systems. Particular attention is given to distributed and parallel, synchronous and asynchronous, computations as well as to analysis and design of control algorithms and pricing techniques for computer networks. Research of Robot Programming and Pattern Recognition Group is concerned with robot motion planning and control systems, autonomous mobile robot localization and navigation, robot programming methods, computer vision systems and speach recognition systems. In the robot control systems area research is focused on new motion and force/position control algorithms for multi-robot systems. In the computer vision and signal processing (speech analysis) area the research is concentrated on autonomous navigation, transportation and security relevant environments. All of this research is centered around service robots, i.e. two-handed devices using visual servoing, force control, and speech recognition to fulfill tasks that humans usually execute. Control Engineering Group implements research encompassing control engineering techniques, in particular industrial process control with the main focus on predictive and fuzzy control algorithms, multilayer optimizing and supervisory control, and non-linear system control and analysis. Theoretical considerations are combined with simulation analysis and investigations. The research activities of Software Engineering Group are related to the development and quality evaluation of software. Topics include software processes, analysis, design and quality evaluation methods, and software audit. A new research area is service-oriented architecture (SOA). Operations Research and Management Systems Group is concerned with operation research and structural discrete optimization methods for control and management of discrete processes, including applications in the network structure development, deregulated electric power industry, IP networks, computer integrated manufacturing, etc. The research is focused on market and auctions design, scheduling techniques, efficient structural-based optimization algorithms, time-table generation, strategic and tactical planning, detailed scheduling, and real-time operational control. Research of Optimization and Decision Support Group is focused on the theory of distributed and parallel computational methods, and software for optimization. The theory covers a whole area of linear and non-linear, dynamic, stochastic and multiple criteria problems, and deals with such topics as the sensitivity aspects and the parametric aspects. Another area covers the decision theory, including the multi-person decisions and decisions under risk, and deals with software building for decision support and management of computer networks.
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