Anjum, M. M. Farooq (1994) Self tuning control of nonlinear systems: a meural net based approach. Masters thesis, King Fahd University of Petroleum and Minerals.
![[img]](http://eprints.kfupm.edu.sa/style/images/fileicons/application_pdf.png)
| PDF 3410Kb |
Arabic Abstract
-
English Abstract
In recent years there has been considerable interest in the area of artificial neural networks. One of the application areas of neural networks is in adaptive control systems. In this work, use of neural networks for direct self tuning control of deterministic and stochastic nonlinear systems has been proposed and investigated using simulation study. Minimum variance and generalized minimum variance control schemes have been used. Methods to overcome the slow convergence problem associated with the backpropagation training algorithm have also been proposed and implemented.
| Item Type: | Thesis (Masters) |
|---|---|
| Date: | January 1994 |
| Date Type: | Completion |
| Subjects: | Engineering |
| Divisions: | College Of Computer Sciences and Engineering > Systems Engineering Dept |
| Creators: | Anjum, M. M. Farooq |
| Committee Advisor: | Ahmed, M. Shahgir |
| Committee Members: | Cheded, Lahouari and Ezzine, J. and Shabaik, H. E. |
| ID Code: | 9714 |
| Deposited By: | KFUPM ePrints Admin |
| Deposited On: | 22 Jun 2008 16:47 |
| Last Modified: | 25 Apr 2011 09:22 |
Repository Staff Only: item control page