Intelligent Automation and Soft Computing, ( ISI ), Volume (8), No (1), Year (2002-1) , Pages (41-51)

Title : ( A Stable Neural Network Controller for Linear Saturated Systems Containing Hysteresis )

Authors: Modjtaba Rouhani , محمدباقر منهاج ,

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Abstract

This paper introduces a design procedure for detemunation of weight matrices of an MLP-based controller to locally stabilize a class of multi-input nonlineaz systems consisting of a lineaz system together with a nonlineaz saturated actuator with or without hysteresis. No assumption is made on the stability of the open-loop system. Two different design problems aze considered: 1) designing a neural network which maximizes the guazanteed domain of stability of the overall system when the actuator bounds aze given, and 2) designing a neural network which guazantees the stability of the overall system in apre-specified region in state-space with a minimum actuator bound. The proposed controller has excellent advantage over the classical ones, regazding its guaranteed domain of stability. The design procedure replaces eazlier recursive neural network learning algorithms with a simple optimization problem.

Keywords

, Neural network Controllers, Stability analysis, Lineaz Saturated system, Hysteresis
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@article{paperid:1053365,
author = {Rouhani, Modjtaba and محمدباقر منهاج},
title = {A Stable Neural Network Controller for Linear Saturated Systems Containing Hysteresis},
journal = {Intelligent Automation and Soft Computing},
year = {2002},
volume = {8},
number = {1},
month = {January},
issn = {1079-8587},
pages = {41--51},
numpages = {10},
keywords = {Neural network Controllers; Stability analysis; Lineaz Saturated system; Hysteresis},
}

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%0 Journal Article
%T A Stable Neural Network Controller for Linear Saturated Systems Containing Hysteresis
%A Rouhani, Modjtaba
%A محمدباقر منهاج
%J Intelligent Automation and Soft Computing
%@ 1079-8587
%D 2002

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