Advanced Methods for Control Systems
|Flow||S - Signals, Automatic Control and Robotics|
|Category||Obligatory (main flow)|
|Class Hours - Lab Hours||3 - 2|
Review of Linear Systems for Continuous and Discrete time. State Space description. Controllability, Observability: definitions, several equivalent criteria. Canonical forms, Canonical Structure Theorem. Pole placement, Observers, Separation. Optimal Control. Pontryagin’s Principle. Dynamic Programming. Numerical methods for TPBV Problems. LQ, Riccati equations. Minimum Time, Minimum Energy problems. 1st and 2nd methods of Lyapunov. Robustness. Dynamic Games. Applications. Laboratory.