This course provides an introduction to systems and control in physical, biological, engineering, information, financial, and social sciences, etc. Key themes include linear system modeling and time-domain state-space analysis, stability, observability, state/output feedback controller, reference tracking, etc. It includes both the practical and theoretical aspects of the topic.
Review of Linear Algebra and ODE
Linearization and Linear Time-Invariant Systems
Linear System Stability
State Feedback Control
Observability and State Estimation
Output Feedback Control
Optimal Control: Linear Quadratic Regulator
(Stretch) Reinforcement Learning
Lecture 1: Introduction and Course Logistics [Lecture Note]
Acknowledgement: much of the class material is based on Prof. Na Li at Harvard University and her class on ES 155: Systems and Control; and Prof. Richard Murray at Caltech and his course on CDS 101/110 Introduction to Control Systems.