SEDS 534
Optimization Methods
Linear programming, nonlinear programming, iterative methods and dynamic programming are presented, especially as they relate to optimal control problems. Discrete and continuous optimal regulators are derived from dynamic programming approach which also leads to the Hamilton-Jakobi-Bellman Equation and the Minimum Principle. Linear quadratic regulators, linear tracking problems and output regulators are treated. Linear observer and the separation theorem are developed for controller implementation.
Week | Topics |
---|---|
1 | Introduction to optimization |
2 | Mathematical Review I: Vectors and Matrices |
3 | Mathematical Review II: Calculus |
4 | Unconstrained optimization |
5 | Golden Section, Fibonacci, Newton’s method |
6 | Gradient Search Methods and Least Squares |
7 | Constrained Optimization |
8 | Linear Programming |
9 | Evaluation and Review |
10 | Heuristic Optimization Methods |
11 | Neural Networks, Simulated Annealing |
12-14 | Term Project Presentations and Discussions |