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具连续分布时滞与非线性脉冲BAM神经网络的全局指数稳定性

陈超 许君燕

福州大学学报(自然科学版)2011,Vol.39Issue(2):174-179,6.
福州大学学报(自然科学版)2011,Vol.39Issue(2):174-179,6.DOI:CNKI:35-1117/N.20110402.0958.002

具连续分布时滞与非线性脉冲BAM神经网络的全局指数稳定性

Global exponential stability analysis on nonlinear impulsive BAM neural networks with continuously distributed delays

陈超 1许君燕2

作者信息

  • 1. 集美大学理学院,厦门福建,361021
  • 2. 福州大学数学与计算机科学学院,福建福州,350108
  • 折叠

摘要

Abstract

In this paper, a class of bidirectional associative memory(BAM) neural networks with non linear impulses and continuously distributed delays are studied. By using M - matrix and spectral theory, some new sufficient conditions are established for the existence and global exponential stability of a unique equilibrium, which improve the previously known results. Finally, an example is given to illustrative the applicability of the result.

关键词

BAM神经网络/连续分布时滞/非线性脉冲/全局指数稳定

Key words

BAM neural networks/ continuously distributed delays/ nonlinear impulses/ global expo nential stability

分类

数理科学

引用本文复制引用

陈超,许君燕..具连续分布时滞与非线性脉冲BAM神经网络的全局指数稳定性[J].福州大学学报(自然科学版),2011,39(2):174-179,6.

基金项目

福建省自然科学基金资助项目(S0750007) (S0750007)

福建省青年人才创新资助项目(JA09152) (JA09152)

福州大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-2243

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