After completing this course student should be able to 1. Define the appropriate optimality performace criterion; 2. Fore a given system mode and performance criterion, find the optimal solution (linear quadratic regulator, LQR); 3. Analyze the performance of the resulting otimal solution in real ciscumstances, when all the system states are not available for measurement; 4. Desing a suboptimal regulator that will tend to come as close as possible to the optimal one (full order observer, reduced order observer, etc.); 5. Model and simulate optimal control systems by using the computer support and the existing tools (Matlab, Simulink, etc.).
Name | Lectures | Exercises | Laboratory |
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LUKA MARTINOVIĆ | |||
ŽARKO ZEČEVIĆ |