Intelligent Control

(3-0-0-3)

CMPE Degree: This course is Not Applicable for the CMPE degree.

EE Degree: This course is Not Applicable for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): 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

Topical Outline

* 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)