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.
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| 2 |
Introduction to Expert systems.
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| 3 |
Applications of expert systems to electrical engineering.
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| 4 |
Introduction to genetic algorithm.
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| 5 |
Genetic algorithm structure.
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| 6 |
Applications of GA.
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| 7 |
Introduction to particle swarm optimization.
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| 8 |
Structure of PSO.
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| 9 |
Applications of PSO.
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| 10 |
Introduction to Tabu search.
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| 11 |
Structure of tabu search.
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| 12 |
Applications of tabu search.
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| 13 |
Case study using GA.
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| 14 |
Case study using PSO.
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| 15 |
Case study using TS.
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| 16 |
Final Exam.
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