变时滞随机模糊细胞神经网络稳定性分析
    点此下载全文
引用本文:汪菁宜,彭国强.变时滞随机模糊细胞神经网络稳定性分析[J].经济数学,2014,(1):17-20
摘要点击次数: 745
全文下载次数: 85
作者单位
汪菁宜,彭国强 (湖南大学 数学与计量经济学院, 湖南 长沙 410082) 
中文摘要:本文旨在研究一类带变时滞的随机模糊细胞神经网络的稳定性.通过构造恰当的Lyapunov泛函并运用线性矩阵不等式(LMI)理论,作者给出了保证这类神经网络全局渐近稳定的充分条件.本文推导出两个定理:一个用以判定文中模型的全局渐进稳定性,一个用以判定该模型在均方意义下的全局渐近稳定性.
中文关键词:随机模糊神经网络  变时滞  全局渐近稳定性
 
Globally Asymptotic Stability of Stochastic Fuzzy Cellular Neural Networks with Time-varying Delays
Abstract:This paper aims at solving the problem of checking the stability of a class of stochastic fuzzy cellular neural networks with time-varying delays. By constructing suitable Lyapunov functional and applying linear matrix inequality(LMI) theory, some sufficient conditions were developed to guarantee its globally asymptotic stability of this kind of neural networks. Two main results were obtained: one considering the globally asymptotic stability of the model, the other regarding its globally asymptotic stability in the mean square.
keywords:stochastic fuzzy neural networks  time-varying delays  globally asymptotic stability
查看全文   查看/发表评论   下载pdf阅读器