EE 5321- Optimal
Control Systems
Updated:
Thursday, December 18, 2008 by F.L.
Lewis
This is a UTA Web-Based Course. The internet URL is linked to
http://arri.uta.edu/acs
Related
webpages:
Systems
and Controls Thrust Area
Catalog Information: EE5321-
OPTIMAL CONTROL (3-0)
Design of optimal control systems. Topics include optimization under constraints, linear quadratic regulators, Riccati equation, suboptimal control, dynamic programming, calculus of variations, and Pontryagin's minimum principle. A prior introductory systems course, such as EE 5307 is desirable.
Prerequisite: consent of instructor.
Course Objectives:
To provide
Topics Covered: see separate schedule.
Class hours: MW 4-520pm, NH 105
Instructor: F.L. Lewis, tel: 272-5972, office: ARRI room 215 (off campus), lewis@uta.edu
Office hours: after class
Teaching Assistant: Kyriakos Vamvoudakis, Kyriakos@arri.uta.edu
TA Office Hours: email by appointment in NH 130 or the TA temporary office building.
Texts: 1) F.L. Lewis and V.L. Syrmos, Optimal Control, Wiley 1995.
2) Student Edition of Matlab,
windows version 5.0
3) Notes on the web.
Grading:
Homework-- 20%
Exam 1 25%
Exam 2 25%
Final Exam 30%
Student Learning Outcomes:
1. Students will understand the fundamental principles of optimality and how to include optimal criteria into control design
Assessment- homeworks and examinations.
2. Students will be able to perform designs with various optimal control tools including the Riccati equation using MATLAB computer simulation toolboxes.
Assessment- computer design and simulation projects assigned in homeworks.
3. Students will understand the fundamental principles of optimal control including the Hamiltonian, Lagrange/Euler equations, and dynamic programming.
Assessment- design and simulation projects assigned in homeworks. Exams.
4. Students will understand how to apply optimal control in the design of practical systems in aerospace, industry, and vehicle control.
Assessment- homework design problems.
5. Students will
understand the fundamental contributions by scientists including
Assessment- lecture and class discussion.
Relation to Program Objectives. This is a course in modern optimal design for feedback control systems. Objectives include presenting the basic design methods in optimal design and showing their relationships. Relations with principles of physics will be shown as well. Results in stability and robustness will be covered. Design examples in aerospace, industry, vehicle control, and process control will be discussed in class and presented in homework design problems. Students will learn to use MATLAB for design of optimal control systems. This course builds on classical control techniques and modern state-variable systems and extends them to optimal feedback control systems.
Attendance is not mandatory. If you skip classes, you will find the homework and exams more difficult. Due to the pace of the lectures, copying someone else's notes may be an unreliable way of making up an absence. You are responsible for all material covered in class regardless of absences.
You will need to use MATLAB, including the neural network, controls, and DSP toolbox. MATLAB is installed on the ACS network. Using the Student Edition of MATLAB you can install it on your own PC or MAC.
Check the grading of the exams thoroughly. You will have one week after the exam to see me for regrading. After this period, the grade is final.
Questions during class are strongly encouraged. The worst thing I can do is move too slowly and bore you. The next worst thing I can do is move too quickly and confuse you. If either of these occurs, it is your responsibility to speak up. You are paying for an education, and if the material is not presented clearly with confusion being eliminated shortly after it sets in you are not getting what you contracted for. On the other hand, if I never confuse you I am being unduly conservative and hence not conscientious. There is a very fine balance here, with you as student and me as instructor each having very definite responsibilities for keeping open all channels of communication. It is extremely difficult to teach a course without some sort of real-time feedback.
Some
philosophy. I have an attitude toward learning which is based very
heavily on independence and self-reliance; it can be
"Knowledge cannot be given, but comes only with great personal
sacrifice and effort."
It is my job to make knowledge available to you and show you one attitude toward it based on my experience in the area. It is your job to make it a part of yourself and so your own personal possession.
As per
University guidelines. See the Registrar’s Bulletin or the
University Calendar in the front part of the UTA catalog for drop dates.
Students will be asked to
complete instructor/course evaluation forms at the end of the semester. The re
If you require an
accommodation based on disability, I would like to meet with you in the privacy
of my office, during the first week of the semester, to make
The
As a faculty member, I am
required by law to provide "reasonable accommodations" to
It is the
philosophy of The University of Texas at
"Scholastic dishonesty includes but is not limited to cheating,
plagiarism, collusion, the
ANY CHEATING WILL RESULT IN SEVERE PENALTIES.
Student Support Services
Available:
The
Final Review Week:
A period of five class days prior to the first day of final examinations in the
long sessions shall be designated as Final Review Week. The purpose of this
week is to allow
E-Culture Policy:
The
All
Make-up Exam Policy: See instructor. Arrangements must be made PRIOR to the exam.
Grade Grievance Policy: As per the UTA catalog.