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
Corequisites: None.
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
Student Outcomes
In the parentheses for each Student Outcome:"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Not Applicable
Course Objectives
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)