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时变时滞BAM神经网络系统的指数稳定性分析 被引量:1

Exponential Stability Analysis for BAM Neural Networks with Time-Varying Delays
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摘要 利用Lyapunov稳定性理论和线性矩阵不等式技术,得到了保证时变时滞BAM神经网络系统指数稳定性的时滞依赖稳定性准则.所给的准则可用Matlab中的LMI控制工具箱进行验证.仿真实例进一步说明了结果的有效性. 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 tinm-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.
作者 管巍 孙虹霞
机构地区 燕山大学理学院
出处 《数学的实践与认识》 CSCD 北大核心 2011年第19期234-240,共7页 Mathematics in Practice and Theory
关键词 双向联想记忆(BAM)神经网络 时变时滞 时滞依赖指数稳定性 LYAPUNOV稳定性理论 线性矩阵不等式 bi-directional associative memory (BAM) neural networks time-varying delays delay-dependent exponential stability Lyapunov stability theory LMI
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