Cleveland State University

Department of Electrical Engineering and Computer Science

 

EEC 644/744, Optimal Control Systems

 

There are many ways to design a control system. Adaptive control is a way of allowing a control system to adjust to changes in the system that is being controlled. Fuzzy and neural control allow a designer to control a system without having a mathematical model of the system. Robust Control is a frequency-domain method of designing a control system that is insensitive to variations in the plant model or noise.

 

Optimal control is a time-domain method based on state space models, and was first developed in the 1950s. It has seen a lot of successful applications, especially in aerospace. Given a system and reference signal that we want the system output to track, what controller will minimize the error between the system output and the reference signal, while also minimizing the control effort?

 

Here are the links to the course syllabus and the homework assignments.

 

Here are some sample MATLAB programs. Check back for updates during the course.

 

Here are some good links to optimal control web sites.

 

This course uses MATLAB a lot and Maple less frequently. You can find more information about MATLAB and Maple from the links below.

 


Professor Simon's Home Page

Department of Electrical and Computer Engineering

Cleveland State University


Last Revised: August 24, 2015