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具有混合时滞模糊神经网络的全局指数稳定性分析
引用本文:孙骏,陈立平. 具有混合时滞模糊神经网络的全局指数稳定性分析[J]. 安徽建筑工业学院学报, 2011, 19(1)
作者姓名:孙骏  陈立平
作者单位:孙骏,SUN Jun(安徽职业技术学院,合肥,230011);陈立平,CHEN Li-ping(重庆大学自动化学院,重庆,400044)
摘    要:主要研究一类具有混合时滞的模糊神经网络.运用不动点定理,M-矩阵理论和一些分析技术,得到了唯一平衡点存在和全局指数稳定的充分条件.实例证明了所得结果的有效性.

关 键 词:模糊神经网络  混合时滞  不动点定理  指数稳定

Global exponential stability of fuzzy cellular neural networks with mixed delays
SUN Jun,CHEN Li-ping. Global exponential stability of fuzzy cellular neural networks with mixed delays[J]. Journal of Anhui Institute of Architecture(Natural Science), 2011, 19(1)
Authors:SUN Jun  CHEN Li-ping
Affiliation:SUN Jun1,CHEN Li-ping2(1.Anhui Vocational and Technical College,Hefei 230011,China,2.College of Automation,Chongqing University,Chongqing 400044,China)
Abstract:In this paper,a class of fuzzy cellular neural networks with mixed delays is studied.By using the fixed point theorem,M-matrix theory and some analytic techniques,sufficient conditions for the existence and global exponential stability of the unique equilibrium point are obtained.For illustration,an example is given to show the effectiveness of the obtained results.
Keywords:fuzzy neural networks  mixed delays  fixed point theorem  exponential stability  
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