首页 | 本学科首页   官方微博 | 高级检索  
     检索      

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].鞍山科技大学学报,2010,33(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 University of Science and Technology,2010,33(2):113-120.
Authors:XING Jun  YIN Li-wen  JIAO Ming-hua
Institution:XING Jun1,YIN Li-wen2,JIAO Ming-hua3(1.School of Science,University of Science and Technology Liaoning,Anshan 114051,China,2.Jinlin Petrochemical Company Ethylene Plant,Jilin 132022,3.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 exis...
Keywords:Robust exponential stability  BAM neural networks  LMI  delay-range-dependent  
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号