M.Tech I Year II Semester (R19)
Control Systems
After completion of this course, the student should be able to:
Introduction - use of Adaptive control - definitions - essential aspects – classification - Model
Equivalent representation as a nonlinear time varying system - direct and indirect MRAC.
Continuous time MRAC systems - Model Reference Adaptive System Design based on Gradient method, Design of stable adaptive controllers based on Kalman - Meyer - Yakubovich Lemma, Lyapunov theory, Hyper stability theory.
Self Tuning Regulators (STR) - different approaches to self tuning - Recursive parameter estimation - implicit STR - Explicit STR. STR design based on pole - placement technique and LQG theory.
Adaptive control of 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.
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