Delay dependent stability criteria for recurrent neural networks with time varying delays

作     者：Zhanshan WANG Huaguang ZHANG 

作者机构：School of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China 

出 版 物：《控制理论与应用（英文版）》 (J. Control Theory Appl.)

年 卷 期：2009年第7卷第1期

页      面：9-13页

核心收录：

学科分类：12[管理学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 071101[理学-系统理论] 0711[理学-系统科学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China (No.60534010,60572070,60728307,60774048,60774093) the Program for Cheung Kong Scholars and Innovative Research Groups of China (No.60521003) the National High Technology Research and Development Program of China (No.2006AA04Z183) the Postdoctor Foundation of Northeastern University (No.20080314) the Natural Science Foundation of Liaoning Province (No.20072025) China Postdoctoral Science Foundation (20080431150) 

主　　题：Recurrent neural networks Stability Time varying delay Linear matrix inequality 

摘      要：This paper aims to present some delay-dependent global asymptotic stability criteria for recurrent neural networks with time varying delays. The obtained results have no restriction on the magnitude of derivative of time varying delay, and can be easily checked due to the form of linear matrix inequality. By comparison with some previous results, the obtained results are less conservative. A numerical example is utilized to demonstrate the effectiveness of the obtained results.