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Self tuning control of nonlinear systems: a meural net based approach

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.


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
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

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