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		Jinliang SHAO,Tingzhu HUANG.[en_title][J].Control Theory and Technology,2009,7(3):315~320.[Copy]

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JinliangSHAO,TingzhuHUANG
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Received:March 07, 2008Revised:August 19, 2008

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A new result on global exponential robust stability of neural networks with time-varying delays

Jinliang SHAO, Tingzhu HUANG

(School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu Sichuan 610054, China)

Abstract:

In this paper, the global exponential robust stability of neural networks with time-varying delays is investigated. By using nonnegative matrix theory and the Halanay inequality, a new sufficient condition for global exponential robust stability is presented. It is shown that the obtained result is different from or improves some existing ones reported in the literatures. Finally, some numerical examples and a simulation are given to show the effectiveness of the obtained result.

Key words: Neural networks Time-varying delays Global exponential robust stability