Analysis for Cohen-Grossberg neural networks with multiple delays

被引：0
|
作者：
Ce JI
机构：
来源：
JournalofControlTheoryandApplications | 2006年 / 04期
基金：
中国国家自然科学基金;
关键词：
Cohen-Grossberg neural networks; Multiple delays; LMI; Lyapunov functional; Globally asymptotic stability;
D O I：
暂无
中图分类号：
O231 [控制论（控制论的数学理论）];
学科分类号：
070105 ; 0711 ; 071101 ; 0811 ; 081101 ;
摘要：
The stability analysis of Cohen-Grossberg neural networks with multiple delays is given. An approach combining the Lyapunov functional with the linear matrix inequality (LMI) is taken to obtain the sufficient conditions for the globally asymptotic stability of equilibrium point. By using the properties of matrix norm, a practical corollary is derived. All results are established without assuming the differentiability and monotonicity of activation functions. The simulation samples have proved the effectiveness of the conclusions.
引用
收藏
页码：392 / 396
页数：5
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