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

作　　者：陈超[1] 许君燕[2] 

机构地区：[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

出　　处：《福州大学学报（自然科学版）》2011年第2期174-179,共6页Journal of Fuzhou University(Natural Science Edition)

基　　金：福建省自然科学基金资助项目(S0750007);福建省青年人才创新资助项日(JA09152)

摘　　要：研究了具有连续分布时滞与非线性脉冲影响的BAM型神经网络的全局指数稳定性问题.利用M-矩阵以及谱理论等工具得到了系统存在惟一全局指数稳定的平衡点的充分条件.并给出一个例子说明结论的有效性.In this paper, a class of bidirectional associative memory（BAM） neural networks with nonhnear impulses and continuously distributed delays are studied. By using M - matrix and spectral theo- ry, 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 

分 类 号：O175.12[理学—数学]