AME 455: Control Systems Design
Topics covered:
- Mathematical modeling of dynamical systems
- Hardware and software issues
- Computer simulations
- Classical control methods including transient response, steady-state errors, bode diagrams, root locus, design of closed loop control systems
- Introduction to state feedback
- Design and digital control.
Semesters taught: Fall 2021, Spring 2022, Spring 2023, Fall 2023
AME 556: Nonlinear and Optimal Control
Topics covered:
- Review of stability of dynamical systems and concepts of linear control
- Lyapunov stability Theorem
- Control of linearized nonlinear systems
- State-space representation of dynamical systems
- State transition matrix
- Controllability and observability.
- Unconstrained Optimal Control
- Calculus of Variations
- General Continuous-Time Optimization Problem
- Continuous-Time Linear Quadratic Regulator
- Continuous-Time Linear Quadratic Tracking
- Discrete-Time Optimal Control.
-
Final-Time-Free and Constrained Input Control
- Final-Time-Free Problems
- Minimum time Optimal Control Problem
- Minimum Energy Optimal Control Problem
-
Dynamic Programming
- Bellman’s Principle of Optimality
- Discrete-Time Systems Problems
- Continuous-Time Systems Problems
-
Differential Game
- Optimal Control Derived Using Pontryagin’s Minimum Principle and the Bellman Equation
- Two-player Zero-sum Games
- Multiplayer Non-zero-sum Games
-
Reinforcement Learning
- Reinforcement Learning
- Markov Decision Processes
- Policy Evaluation and Policy Improvement
- Temporal Difference Learning
Semesters taught: Fall 2022, Fall 2023