Catalogue 2018 - 2019

EE 670 Optimal Control Systems


3 cr.


EE 425 or permission of instructor.

Course Description

Students learn the basic principles of optimal control theory. They also learn minimum time, minimum control effort, terminal control, tracking, and regulator forms of performance measures as well as calculus of variations, and the variational approaches including linear regulators and the Pontryagin's minimum principle methods as applied to the optimal control theory. In addition students learn about regulators and tracking problems. They also learn to use MATLAB computational software to understand new concepts and to perform and implement optimal control analysis and design techniques. The methods of assessing student learning in this course are homework assignments, classroom discussions, design projects, and a final exam.