ECE 564 Optimal Control
Optimization techniques for linear and nonlinear systems. Variational calculus. Dynamic programming. Pontryagin’s maximum principle. Hamilton-Jacobi theory. Linear Regulator. Bang bang control, minimum time control, singular control. Discrete variational calculus. Combined estimation and control. Computational methods in optimal control. Prerequisite: 456 or consent of instructor.
Credit Hours: 3 Lecture
Prerequisites:
ECE 456
Course Coordinator:
Farzad
Pourboghrat
Textbooks:
"Linear
Quadratic Control: An Introduction, Reprint Edition, ", Peter Dorato, A. Chaouki &
Cerone Vito, Krieger Publishing Company, 2000, ISBN: 1-57524-156-0.
References:
"Applied Optimal Control: Optimization, Estimation, and
Control, Bryson and Ho, Hemisphere Publishing, 1981, ISBN: 0891162283.
Goals:
To teach the students the tools for functional optimization, variational calculus, Pontryagin’s maximum principle and dynamic programming. -
To familiarize the students with design tools for LQR and LQG (H2) optimal control problems.
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To introduce the students to design tools of H-infinity and LMI for robust optimal control problems.
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To acquaint the students with software tools for implementation of optimal control algorithms.
Projects:
Optimal control of a DC motor. Optimal control of a robotic manipulator.
Computer Tools: Matlab Simulink, Robust Control Toolbox
Last Review: Spring Semester 2004
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