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Mechanical Engineering 233: Advanced Control Systems II (Spring 2014, UC Berkeley). Instructor: Xu Chen.
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Description
Advanced Control Systems II discusses advanced practical topics: Linear Quadratic Optimal Control, Stochastic State Estimation (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.
Course content
- Lecture 01 – Introduction Unlimited
- Lecture 02 – Discrete-time Linear Quadratic Optimal Control Unlimited
- Lecture 03 – Review of Probability Theory Unlimited
- Lecture 04 – Review of Probability Theory: Random Process Unlimited
- Lecture 05 – Principles of Least Squares Estimation Unlimited
- Lecture 06 – Stochastic State Estimation (Kalman Filter) Unlimited
- Lecture 07 – Stochastic State Estimation (Kalman Filter) (cont.) Unlimited
- Lecture 08 – Linear Quadratic Gaussian (LQG) Control Unlimited
- Lecture 09 – Linear Quadratic Gaussian (LQG) Control (cont.) Unlimited
- Lecture 10 – MIMO Control and Discretization Unlimited
- Lecture 11 – Discretization and Implementation of Continuous-time Design Unlimited
- Lecture 12 – LQ with Frequency Shaped Cost Function (FSLQ) Unlimited
- Lecture 13 – Feedforward Control Zero Phase Error Tracking Unlimited
- Lecture 14 – Internal Model Principle and Repetitive Control Unlimited
- Lecture 15 – Disturbance Observers, Part 1 Unlimited
- Lecture 16 – Disturbance Observers, Part 2 Unlimited
- Lecture 17 – System Identification and Recursive Least Squares Unlimited
- Lecture 18 – Stability Analysis of Adaptive Systems (I) Unlimited
- Lecture 19 – Stability Analysis of Adaptive Systems (II) Unlimited
- Lecture 20 – PAA with Parallel Predictors Unlimited
- Lecture 21 – Parameter Convergence in PAAs Unlimited
Instructor
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