The Department of Control Systems and Mechatronics carries out research in the field of objects modeling and identification as well as control systems synthesis and optimization.
dynamic processes modeling and simulation,
dynamic systems and complex systems identification,
stochastic modeling in complex physical processes and networks,
forecasting with the use of neural networks,
experiment planning for identification,
methods of image recognition and processing, application for production quality monitoring;
control theory – classical methods, numerical methods, cyclic systems,
advanced adaptive, fuzzy, and other control algorithms,
complex industrial process control systems, including DCS, SCADA, PAC, PLC,
flexible manufacturing systems, CAM,
control systems in intelligent buildings,
control systems for multi-rotor flying and mobile systems,
laparoscopic surgery trainers;
advanced optimization algorithms, including heuristic algorithms, in particular evolutionary algorithms,
production processes, logistics processes, and control systems optimization,
