Course
| code | EE714 |
| credit_hours | 3 |
| title | System Identification and Adaptive Control |
| arbic title | |
| prequisites | None |
| credit hours | 3 |
| Description/Outcomes | Statistical and optimization fundamentals. Impulse response identification. Parameter estimation. Frequency response estimation. Experimental methods. Correlation technique. Regression technique. Quasi-linearization method. Adaptive systems. Model reference adaptive systems. Self tuning regulators. Robust adaptive control. |
| arabic Description/Outcomes | |
| objectives | The student should be able to: Apply different methods of systems identification to control systems. Learn what adaptive control is, and how it can be applied. |
| arabic objectives | |
| ref. books | M.S. Santina, A.R. Stabberud and G.H. Hostetter, “Digital Control System Designâ€, Saunders College Pub., 1994. G.F. Franklin, I.D. Powell and M. Workman, “Digital Control of Dynamic Systemsâ€, Addison Wesley, 1998. Benjamin C. Kuo, “Digital Control Systemsâ€, Saunder College Publishing, 1992. C.L. Philip, “Digital Control System Analysis and Designâ€, Prentice Hall Inc, 1990. F. Nekoogar and G. Moriarty, “Digital Control Using Digital Signal Processingâ€, Prentice Hall 1996. |
| arabic ref. books | |
| textbook | |
| arabic textbook | |
| objective set | |
| content set | |
Course Content
| content serial |
Description |
| 1 |
Statistical & Optimize Action.
|
| 2 |
Response Identification.
|
| 3 |
Parameter Estimation.
|
| 4 |
Frequency Response Estimation.
|
| 5 |
Correlation technique.
|
| 6 |
Regression technique.
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| 7 |
Quazi linearization method.
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| 8 |
Least square method.
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| 9 |
Kalman filter.
|
| 10 |
Introduction to adaptive systems.
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| 11 |
Model reference adaptive systems.
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| 12 |
Self tuning regulator.
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| 13 |
Solution of the dyfontayn equation.
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| 14 |
Robustness adaptive control.
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| 15 |
Application of adaptive control on practical system.
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| 16 |
Final Exam.
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