ME 641 - System Identification & Adaptive Control

This course is on the fundamentals of system identification and (parameter identification based) adaptive control of dynamic systems whose parameters are unknown or changing with time in an unknown manner. Focus is on continuous-time dynamic engineering systems. The covered topics include system parameterization and parametric modeling, gradient and least-squares based parameter identification algorithms, parameter projection and other robustification techniques, state estimation and observer design, adaptive state estimators, kalman filtering, adaptive pole placement control, adaptive linear quadratic control, model reference adaptive control, sliding mode control and other nonlinear techniques. There is a significant project component on applications of parameter identification and adaptive control.