Course
code | EE719 |
credit_hours | 3 |
title | Intelligent Control Systems |
arbic title | |
prequisites | None |
credit hours | 3 |
Description/Outcomes | Knowledge representation techniques. Function of an expert system. Main structure of an expert system. Rule base. Inference engine. Reasoning module. Artificial intelligence and expert system application studies. |
arabic Description/Outcomes | |
objectives | The student should be able to: Construct the intelligent and expert system. Get knowledge of expert system. Apply the expert and artificial intelligent in control system. |
arabic objectives | |
ref. books | P. Jackson, “Introduction to Expert Systemsâ€, Addison Wesley, 1990. Dean, “Artificial Intelligence (Theory and Practice)â€, The Benjamin/ Cummings Publishing Company, 1995. J. S Albus and A. M. Meysrel, " Intelligent Systems: Design and Control", 2001. Zi-Xing Cai, "Intelligent Control: Principles, Techniques and Applications", 1998. |
arabic ref. books | |
textbook | |
arabic textbook | |
objective set | |
content set | |
Course Content
content serial |
Description |
1 |
Introduction to artificial intelligence systems.
|
2 |
Introduction to Expert systems.
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3 |
Applications of expert systems to electrical engineering.
|
4 |
Introduction to genetic algorithm.
|
5 |
Genetic algorithm structure.
|
6 |
Applications of GA.
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7 |
Introduction to particle swarm optimization.
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8 |
Structure of PSO.
|
9 |
Applications of PSO.
|
10 |
Introduction to Tabu search.
|
11 |
Structure of tabu search.
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12 |
Applications of tabu search.
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13 |
Case study using GA.
|
14 |
Case study using PSO.
|
15 |
Case study using TS.
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16 |
Final Exam.
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