Advanced Control Systems
ME233 Advanced Control Systems II, UC Berkeley, Spring 2014
I developed course notes for this course in 2014. It is not currently taught at UW but some of the materials may move to a new course.
ME233 discusses advanced control metholodigies and their applications to engineering systems. Metholodigies include but are not limited to: Linear Quadratic Optimal Control, Kalman Filter, Linear Quadratic Gaussian Problem, Loop Transfer Recovery, System Identification, Adaptive Control and Model Reference Adaptive Systems, Self Tuning Regulators, Repetitive Control, Disturbance Observers.
Lecture 2: Review of Probability Theory (I);
Lecture 3: Review of Probability Theory (II);
Lecture 4: Probability and Random Process;
Lecture 7: Stochastic State Estimation (Kalman Filter) II; Lecture video on youtube
Lecture 9: Linear Stochastic Control (Linear Quadratic Gaussian (LQG) Problem) II; Lecture video on youtube
Lecture 11: Loop Transfer Recovery I;
Lecture 12: Loop Transfer Recovery II
Lecture 13: Frequency Shaped LQ;
Lecture 15: Internal Model Principle and Repetitive Control;
Lecture 16: Disturbance Observer (I);
Lecture 17: Disturbance Observer (II);
Lecture 18: System Identification;
Lecture 19: Stability of Adaptive Systems I;
Lecture 20: Stability of Adaptive Systems II;
Lecture 21: Parallel Adaptation Algorithms;
Lecture 22: Parameter convergence of adaptation algorithms
Lecture 23: Direct and Indirect Adaptive Control I
Lecture 24: Direct and Indirect Adaptive Control II
Lecture 25: Adaptive Prediction, Minimum Variance Control.