Robust, adaptive, optimal, neuro-fuzzy control; ship control; systems of electrical engineering, mechanics, robotics

Department of Marine Automation consists of highly qualified academic staff with experience in cooperation with the industry.
The staff has expertise in automation and robotics, particularly in the area of advanced automatic control algorithms for different kind of objects and/or processes.
The proposed control design methods and techniques include:
•    nonlinear, robust and adaptive control;
•    optimal control;
•    intelligent systems (neuro and fuzzy techniques);
•    observers and state estimation (e.g. Kalman filter)