EE 5322-
Intelligent Control Systems
COURSE SYLLABUS AND POLICY
Updated:
Wednesday, December 25, 2013 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: EE 5322.
INTELLIGENT CONTROL SYSTEMS (3-0). Principles of intelligent
control including adaptive, learning, and self-organizing systems.
Neural networks and fuzzy logic systems for feedback control. Discrete event systems and
decision-making supervisory control systems. Manufacturing
work-cell control. Advanced sensor processing
including Kalman filtering and sensor fusion.
Prerequisite: consent of instructor.
Course Objectives:
To provide
Topics Covered: see separate schedule.
Class hours: T Th 330-450pm, NH 111
Instructor: F.L. Lewis, tel: 272-5972, office: UTARI room 215 (off campus), lewis@uta.edu
Office hours: after class
Teaching Assistant: Reza Modares reza_modares@yahoo.com
TA Office Hours:
Texts: 1) F.L.
Lewis, L. Xie, and D. Popa, Optimal &
Robust Estimation: With an Introduction
to Stochastic Control Theory, CRC Press, Boca Raton, 2007. Second Edition.
2) Student Edition of Matlab
3) Notes on the web.
Grading:
Homework-- 20%
Exam 1 25%
Exam 2 25%
Final Project report – in IEEE Format 30%
Student Learning Outcomes:
1. Students will understand the relation between various intelligent design tools including neural networks, fuzzy logic, Bayes methods, Dempster-Shafer, Petri Nets, and Rule-based Systems.
Assessment- homeworks and design projects assigned in examinations.
2. Students will be able to perform designs with various intelligent control tools using MATLAB computer simulation toolboxes.
Assessment- computer design and simulation projects assigned in homeworks.
3. Students will
understand the relation between electrical engineering control systems methods
and computer science design tools in applications
Assessment- design and simulation projects on (1) sensor fusion/signal processing, and (2) mobile robots assigned in homeworks.
4. Students will understand the context of control systems design including the history of control and ethical responsibilities of engineers.
Assessment- Final Project Report.
5. Students will
learn to perform a
Assessment- Final Project Report.
Relation to Program Objectives. This is a course in modern learning and
decision-making systems for feedback control.
Objectives include presenting neural networks and fuzzy logic systems
for feedback control, sensor fusion, and control decision making. Also presented are rule based systems
including expert systems, discrete event systems, and Petri nets. Classical tools for sensor fusion
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.
Drop Policy: Students may drop or
swap (adding and dropping a class concurrently) classes through self-service in
MyMav from the beginning of the registration period
through the late registration period. After the late registration period,
students must see their academic advisor to drop a class or withdraw.
Undeclared students must see an advisor in the University Advising Center. Drops
can continue through a point two-thirds of the way through the term or session.
It is the student's responsibility to officially withdraw if they do not plan
to attend after registering. Students will not be automatically dropped for
non-attendance. Repayment of certain types of financial aid administered
through the University may be required as the result of dropping classes or
withdrawing. For more information, contact the Office of Financial Aid and
Scholarships (http://wweb.uta.edu/ses/fao).
Americans
with Disabilities Act: The University of Texas at Arlington is on record as
being committed to both the spirit and letter of all federal equal opportunity
legislation, including the Americans with Disabilities Act (ADA). All
instructors at UT Arlington are required by law to provide "reasonable
accommodations" to students with disabilities, so as not to discriminate
on the basis of that disability. Any student requiring an accommodation for
this course must provide the instructor with official documentation in the form
of a letter certified by the staff in the Office for Students with
Disabilities, University Hall 102. Only those students who have officially
documented a need for an accommodation will have their request honored.
Information regarding diagnostic criteria and policies for obtaining
disability-based academic accommodations can be found at www.uta.edu/disability or by calling
the Office for Students with Disabilities at (817) 272-3364
Academic Integrity: Students enrolled in
this course are expected to adhere to the UT Arlington Honor Code:
I pledge, on my honor, to uphold UT Arlington’s tradition
of academic integrity, a tradition that values hard work and honest effort in
the pursuit of academic excellence.
I promise that I will submit only work that I personally
create or contribute to group collaborations, and I will appropriately
reference any work from other sources. I will follow the highest standards of
integrity and uphold the spirit of the Honor Code.
UT Arlington faculty
members may employ the Honor Code as they see fit in their courses, including
(but not limited to) having students acknowledge the honor code as part of an
examination or requiring students to incorporate the honor code into any work
submitted. Per UT System Regents’ Rule
50101, §2.2, suspected violations of university’s standards for academic
integrity (including the Honor Code) will be referred to the Office of Student
Conduct. Violators will be disciplined in accordance with University policy,
which may result in the student’s suspension or expulsion from the University.
Student Support Services: UT Arlington
provides a variety of resources and programs designed to help students develop
academic skills, deal with personal situations, and better understand concepts
and information related to their courses. Resources include tutoring,
major-based learning centers, developmental education, advising and mentoring,
personal counseling, and federally funded programs. For individualized
referrals, students may visit the reception desk at University College (Ransom
Hall), call the Maverick Resource Hotline at 817-272-6107, send a message to resources@uta.edu, or view the information
at www.uta.edu/resources.
Lab
Safety Training is not required for this course.
Electronic
Communication: UT Arlington has
adopted MavMail as its official means to communicate
with students about important deadlines and events, as well as to transact
university-related business regarding financial aid, tuition, grades,
graduation, etc. All students are assigned a MavMail
account and are responsible for checking the inbox regularly. There is no
additional charge to students for using this account, which remains active even
after graduation. Information about activating and using MavMail
is available at http://www.uta.edu/oit/cs/email/mavmail.php.
Student Feedback
Survey: At the end of each term, students enrolled in
classes categorized as “lecture,” “seminar,” or “laboratory” shall be directed
to complete an online Student Feedback Survey (SFS). Instructions on how to
access the SFS for this course will be sent directly to each student through MavMail approximately 10 days before the end of the term.
Each student’s feedback enters the SFS database anonymously and is aggregated
with that of other students enrolled in the course. UT Arlington’s effort to
solicit, gather, tabulate, and publish student feedback is required by state
law; students are strongly urged to participate. For more information, visit http://www.uta.edu/sfs.
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 students sufficient time to prepare for final examinations. During
this week, there shall be no scheduled activities such as required field trips
or performances; and no instructor shall assign any themes, research problems
or exercises of similar scope that have a completion date during or following
this week unless specified in the class
syllabus. During Final Review Week, an instructor shall not give any
examinations constituting 10% or more of the final grade, except makeup tests
and laboratory examinations. In addition, no instructor shall give any portion
of the final examination during Final Review Week. During this week, classes
are held as scheduled. In addition, instructors are not required to limit
content to topics that have been previously covered; they may introduce new
concepts as appropriate.
Emergency Exit Procedures: Should
we experience an emergency event that requires us to vacate the building,
students should exit the room and move toward the nearest exit, which is located at either and of the Nedderman
Hall Atrium. When exiting the building during an emergency, one should
never take an elevator but should use the stairwells. Faculty members and
instructional staff will assist students in selecting the safest route for evacuation
and will make arrangements to assist handicapped individuals.