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具有S型分布时滞和脉冲干扰的Cohen-Grossberg神经网络的全局指数稳定性(英文)

Globally Exponential Stability of Cohen-Grossberg Neural Networks with S-typed Distributed Delays and Impulses
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摘要 本文考虑具有S型分布时滞和脉冲的Cohen-Grossberg神经网络模型,应用Lya-punov函数,M矩阵和Razumikhin技巧,得到了该模型稳定的充分条件. In this paper, we consider the Cohen-Grossberg nerual networks with S-typed distributed delays and impulses. Applying the method of Lyapunov functions, M-matrix theory and the Razumikhin technique,a sufficient criterion of stability of equilibrium of the networks is obtained.
作者 王力 周宗福
机构地区 安徽大学数学科学学院
出处 《应用数学》 CSCD 北大核心 2011年第1期137-142,共6页 Mathematica Applicata
基金 Supported by the National Natural Science Foundation of China(10771001) the NSF of Educational Bureau of Anhui Province(KJ2009A005Z) the NSF of Anhui Province(090416237)
关键词 全局指数稳定 S型分布时滞 M矩阵理论 LYAPUNOV函数 Globally exponential stability S-typed distributed delay M-matrix theory Lyapunov function
分类号 O175.4 [理学—基础数学]
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应用数学
2011年 第1期

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