Intelligent Control
(3-0-0-3)
CMPE Degree: This course is N/A for the CMPE degree.
EE Degree: This course is N/A for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Groups / Course Categories: Systems and Controls
Course Coordinator:
Prerequisites: ECE 6550
Catalog Description
Principles of intelligent systems and their utility in modeling,identification and control of complex systems; neuro-fuzzy tools applied
to supervisory control; hands-on laboratory experience.
Textbook(s)
Course Outcomes
Not Applicable
Strategic Performance Indicators (SPIs)
Not Applicable
Topic List
* What is Intelligence? (1 week) - Attributes of intelligent behavior - learning, adaptation, fault- tolerance, self-organization * Learning Automata and Neural Networks (2 weeks) - Demonstration of intelligent attributes * Review of Basic Artificial Concepts (1 week) - Heuristic Search - Expert Systems - Knowledge representation - Problem solving * Intelligent Control (2 weeks) - Auto-tuning - Expert control - Adaptive control * Neuro-Fuzzy Control (2 weeks) - Principles of neuro-fuzzy systems - Application to identification and control * Genetic Algorithms (1 week) - Global optimization techniques * Intelligent Systems in Sensor Fusion and Data Management (1 week) * Intelligent Planning and Scheduling (2 weeks) - Examples in the manufacturing arena * Supervisor Control (2 weeks) - Diagnostics/Prognostics - Fault-tolerant control * Class Projects (1 week)