Delay-Dependent Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays

被引：0
|
作者：
Wei-Wei Su and Yi-Ming Chen College of Science
机构：
来源：
Journal of Electronic Science and Technology | 2008年 / 01期
关键词：
Bi-directional associative memory(BAM)neural networks; delay-dependent exponential stability; linear matrix inequality(LMI); lyapunov stability theory; time-varying delays;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
By employing the Lyapunov stability theory and linear matrix inequality(LMI)technique,delay-dependent stability criterion is derived to ensure the exponential stability of bi-directional associative memory(BAM)neural networks with time-varying delays.The proposed condition can be checked easily by LMI control toolbox in Matlab.A numerical example is given to demonstrate the effectiveness of our results.
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收藏
页码：66 / 69
页数：4
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