ABET EE SyllabusTemplate.doc
1
The University of Texas at
Tyler
Department of Electrical
Engineering
Course: EENG 4308.031 – Automatic Control (Required)
Catalog Description: Syllabus
Introduction to automatic control systems; mathematical models of physical systems; block
diagrams and signal flow graphs; transient and steady state responses; PID controllers; stability of
linear feedback systems; root-locus and Routh's criteria; frequency response methods: polar,
Nyquist and Bode plots; stability margins; state-variable formulation. Prerequisites: EENG 3305
(or EENG 3304 for non-EE) and MATH 3305 or permission of the instructor.
Prerequisites: EENG 3305 and MATH 3305
Credits: 3 ( 3 hours lecture, 0 hours laboratory per week )
Text(s): Richard Dorf and Robert Bishop, Modern Control Systems, 13th ed., Prentice-
Hall, 2010.
Additional Material: Matlab®
Instructor’s Lecture Notes
Course Coordinator: Dr Joseph Kamto
Topics Covered: (paragraph of topics separated by semicolons)
Introduction to automatic control systems; mathematical models of physical systems; block
diagrams and signal flow graphs; transient and steady state responses; PID controllers; stability
of linear feedback systems; root-locus and Routh's criteria; frequency response methods: polar, Nyquist
and Bode plots; stability margins; introduction to state-space systems.
Evaluation Methods: (only items in dark print apply):
1. Examinations / Quizzes
2. Homework
3. Report
4. Computer Programming
5. Project
6. Presentation
7. Course Participation
8. Peer Review
Course Objectives1: By the end of this course students will be able to:
1. Develop mathematical models of engineering systems. [1,2]
2. Determine the transfer function of linear time-invariant control systems. [1,2]
3. Obtain the transient response of a second-order system. [1,2]
4. Determine the sensitivity, steady-state error, rise-time, time to-peak, settling-time,
percentage peak overshoot, and transient response to step, impulse, and ramp input
signals. [1,2]
5. Determine the absolute stability of a control system using the Routh-Hurwitz criterion.
[1,2]
6. Determine the stability of a control system using the Root-Locus method. [1,2]
7. Apply flow graph representation with Mason Gain rule to determine transfer function of
a control system. [1,2]
