ELECTIVE COURSES
AV461
ADVANCED CONTROL THEORY
(3 ‐ 0 ‐ 0) 3 credits
State space Approach: State space modeling of physical systems – diagonal and Jordan
canonical forms ‐ Solution of Linear Time Invariant (LTI) state equation – Cayley Hamilton
theorem – Controllability and Observability Tests – Kalman decomposition technique ‐
Controller design by state feedback – Full order/reduced order observer design – observer
based state feedback control ‐ stability definitions in state space domain.
Adaptive control theory: System Identification – Frequency – Impulse – Step Response methods
–Off‐line – on line methods – Least square – Recursive least square – fixed memory – stochastic
approximate method. MRAS & STC: The gradient approach – MIT rule Liapunov Functions