中国电子科技2008，Vol.6Issue(1)：66-69,4.
Delay-Dependent Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays
Delay-Dependent Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays
摘要
Abstract
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.关键词
Bi-directional associative memory (BAM) neural networks, delay-dependent exponential stability, linear matrix inequality (LMI), lyapunov stability theory, time-varying delaysKey words
Bi-directional associative memory (BAM) neural networks, delay-dependent exponential stability, linear matrix inequality (LMI), lyapunov stability theory, time-varying delays分类
电子信息工程引用本文复制引用
Wei-Wei Su,Yi-Ming Chen..Delay-Dependent Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays[J].中国电子科技,2008,6(1):66-69,4.基金项目
This work was supported by Natural Science Foundation of Hebei Province under Grant NO.E2007000381. （）
