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不确定区间时滞Markov跳变BAM神经网络的鲁棒指数稳定性
引用本文:邢军,殷丽文,焦明华. 不确定区间时滞Markov跳变BAM神经网络的鲁棒指数稳定性[J]. 鞍山钢铁学院学报, 2010, 0(2): 113-120
作者姓名:邢军  殷丽文  焦明华
作者单位:[1]辽宁科技大学理学院,辽宁鞍山114051 [2]吉林石化公司乙烯厂,吉林吉林132022 [3]山东济宁模具厂,山东济宁272400
摘    要:讨论了具有不确定区间时滞的BAM神经网络的鲁棒均方指数稳定性问题。通过构造适当的Lya-punov-Krasovskii泛函,利用一些新的定界技术,以线性矩阵不等式形式给出了Markov跳变BAM神经网络的时滞且区间相关的全局鲁棒指数稳定性判据,该判据利用Matlab的LMI工具很容易进行检验。给出数值示例,说明了判据的有效性与优越性。

关 键 词:鲁棒指数稳定  双向联想记忆神经网络  线性矩阵不等式  时滞区间相关

Robust exponential stability for uncertain BAM neural networks with Markovian jump parameters and interval-time-varying delays
XING Jun,YIN Li-wen,JIAO Ming-hua. Robust exponential stability for uncertain BAM neural networks with Markovian jump parameters and interval-time-varying delays[J]. Journal of Anshan Institute of Iron and Steel Technology, 2010, 0(2): 113-120
Authors:XING Jun  YIN Li-wen  JIAO Ming-hua
Affiliation:1.School of Science,University of Science and Technology Liaoning,Anshan 114051,China;2.Jinlin Petrochemical Company Ethylene Plant,Jilin 132022,China;3.Jining Mold Factory,Jinning 272400,China)
Abstract:The problem of robust exponential stability in the mean square for uncertain bidirectional associative memory(BAM) neural networks with Markovian jump parameters and time-varying delays is investigated.The time-varying delay is assumed to belong to an interval.By defining an appropriate Lyapunov-Krasovskii functional(LKF) and using some new bounding techniques,some delay-range-dependent stabilitycriteria are presented in terms of linear matrix inequalities(LMIs),which can be solved efficiently by using existing LMI toolbox in MATLAB.A umerical example demonstrates the effectiveness and advantage of criterion.
Keywords:Robust exponential stability  BAM neural networks  LMI  delay-range-dependent
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