Delay-dependent stability for neural networks with time-varying delay

被引：34
|
作者：
Liu, Hailin [1 ]
Chen, Guohua [1 ]
机构：
[1] Guangdong Polytech Normal Univ, Dept Comp, Guangzhou 510633, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2007年 / 33卷 / 01期
关键词：
D O I：
10.1016/j.chaos.2006.01.025
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, delay-dependent stability problem for neural networks with a time-varying delay is studied. The free-weighting matrix method is employed to derive an LMI-based criterion, in which the restriction of the derivative of a time-varying delay is removed. A delay-dependent and rate-independent stability criterion is derived as an easy corollary. Finally, the effectiveness of the presented stability criterion and its improvement over the existing results are demonstrated in numerical examples. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：171 / 177
页数：7
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