Home | Aims & Scope | Editorial Board | Information for Authors | Review Flowchart | Call for Papers | Download | Online Subscription | Chinese Journal 
A new result on global exponential robust stability of neural networks with time-varying delays
Received:March 7,2008  Revised:August 19,2008
Keywords:Neural networks  Time-varying delays  Global exponential robust stability
Fund Project:
AuthorInstitution
Jinliang SHAO, Tingzhu HUANG School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu Sichuan 610054, China 
Hits:  29
Download times:  
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.
Jinliang SHAO, Tingzhu HUANG.A new result on global exponential robust stability of neural networks with time-varying delays[J].Journal of Control Theory and Applications,2009,7(3):315~320.
View Fulltext  View/Add Comment  Download reader
          You are guest number 288818.

Sponsored by:South China University of Technology & Academy of Mathematics and Systems Science, CAS      Address:Wushan 381,Guangzhou,P.R.China

Tel:020-87111464   Fax:020-87111464    Postcode:510640    Email: aukzllyy@scut.edu.cn

    Designed by Beijing E-Tiller Co.,Ltd.