Novel delay-dependent stability criteria for neural networks with interval time-varying delay

被引：0
|
作者：
王健安 [1 ]
机构：
[1] School of Electronics Information Engineering,Taiyuan University of Science and Technology
来源：
Chinese Physics B | 2011年 / 20卷 / 12期
关键词：
neural networks; interval time-varying delay; delay-dependent stability; convex combi-nation; linear matrix inequality;
D O I：
暂无
中图分类号：
N93 [非线性科学];
学科分类号：
摘要：
The problem of delay-dependent asymptotic stability for neural networks with interval time-varying delay is investigated.Based on the idea of delay decomposition method,a new type of Lyapunov-Krasovskii functional is constructed.Several novel delay-dependent stability criteria are presented in terms of linear matrix inequality by using the Jensen integral inequality and a new convex combination technique.Numerical examples are given to demonstrate that the proposed method is effective and less conservative.
引用
收藏
页码：178 / 184
页数：7
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