A delay-decomposition approach for stability of neural network with time-varying delay  

作　　者：邱芳 崔宝同 籍艳 

机构地区：[1]College of Communications and Control Engineering,Jiangnan University [2]Department of Mathematics,Binzhou University

出　　处：《Chinese Physics B》2009年第12期5203-5211,共9页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China (Grant No 60674026);the Natural Science Foundation of Jiangsu Province of China (Grant No BK2007016)

摘　　要：This paper studies delay-dependent asymptotical stability problems for the neural system with time-varying delay. By dividing the whole interval into multiple segments such that each segment has a different Lyapunov matrix, some improved delay-dependent stability conditions are derived by employing an integral equality technique. A numerical example is given to demonstrate the effectiveness and less conservativeness of the proposed methods.This paper studies delay-dependent asymptotical stability problems for the neural system with time-varying delay. By dividing the whole interval into multiple segments such that each segment has a different Lyapunov matrix, some improved delay-dependent stability conditions are derived by employing an integral equality technique. A numerical example is given to demonstrate the effectiveness and less conservativeness of the proposed methods.

关 键 词：neural system global asymptotical stability time-varying delay 

分 类 号：N93[自然科学总论]