Optimal Control

A graduate course on optimal control theory covering dynamic programming, Pontryagin's minimum principle, and linear quadratic methods, with homework assignments and a final project.

Instructor: Prof. Hamid Khaloozadeh (Instructor), Moein Sarbandi (Teaching Assistant)

Term: 2021-2022

Location: K.N. Toosi University of Technology

Time: TBD

Course Overview. This course covers optimal control theory as applied to dynamic systems, including dynamic programming, Pontryagin’s minimum principle, and linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) methods, taught by Prof. Hamid Khaloozadeh in the Department of Systems and Control at K.N. Toosi University of Technology.

Role. Moein Sarbandi served as the Teaching Assistant for this course during 2021-2022, contributing to course teaching, project design and grading, and exam and quiz design and grading.

Materials. All homework assignments and the final project are hosted in the course’s GitHub repository, linked in each session above. The full repository, including the README and reference list, is available at github.com/MoeinSarbandi/Optimal-Control.

Schedule

Week Date Topic Materials
1 TBD Homework 1

Assignment covering foundational concepts in optimal control theory.

2 TBD Homework 2

Assignment continuing the course’s coverage of optimal control methods.

3 TBD Homework 3

Assignment continuing the course’s coverage of optimal control methods.

4 TBD Homework 4

Assignment continuing the course’s coverage of optimal control methods.

5 TBD Homework 5

Assignment continuing the course’s coverage of optimal control methods.

6 TBD Homework 6

Assignment continuing the course’s coverage of optimal control methods.

7 TBD Final Project

Culminating project applying optimal control theory to a chosen problem.