EE 5322- Intelligent Control
Systems
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Updated: Thursday, October 20, 2011
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.
Instructor: F.L. Lewis, Dept. of Electrical Engineering and Automation and
Robotics Research Inst.
This course is in the EE SYSTEMS AND CONTROLS
sequence
This page is maintained by F.L. Lewis lewis@uta.edu,
817-272-5972.
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Coursework, homeworks, and projects require MATLAB. Get information and demos from www.mathworks.com