EE60050: Adaptive And Learning Control
| EE60050 | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Course name | Adaptive And Learning Control | ||||||||||||||||||||||||
| Offered by | Electrical Engineering | ||||||||||||||||||||||||
| Credits | 3 | ||||||||||||||||||||||||
| L-T-P | 3-0-0 | ||||||||||||||||||||||||
| Previous Year Grade Distribution | |||||||||||||||||||||||||
| |||||||||||||||||||||||||
| Semester | Spring | ||||||||||||||||||||||||
Syllabus
Syllabus mentioned in ERP
Concept of adaptive control, Least squares parameter estimation with exponential forgetting. Model reference adaptive system. MRAS design based on gradient method, design of stable adaptive controllers based on Kalman-MeyerYakubovich lemma, Lyapunov’s theory and hyperstability theory, error model. Self tuning regulators, STR design based on pole-placement technique and LQG theory. Gain scheduling. Stability of adaptive control algorithms. Adaptive control of a nonlinear systems. Adaptive predictive control. Robustness of adaptive control systems. Instability phenomena in adaptive systems. Concept of learning control systems. Different types of learning control schemes. LTI learning control via parameter estimation schemes. Convergence of learning control. Case Studies: Robotic manipulators, Aerodynamic curve identification.