Exponential Stability Analysis of Stochastic BAM Neural Networks with Time Delays and Impulses

被引：0

作者：

Wang Tianbo ^{[1
]}

Zhao Shouwei ^{[1
]}

Yu Weiqin ^{[1
]}

Fang Tao ^{[1
]}

机构：

[1] Shanghai Univ Engn Sci, Coll Fundamental Studies, Shanghai 201620, Peoples R China

来源：

2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年

关键词：

BAM neural network; pth moment exponential stability; Impulsive effect; Stochastic analysis; Time delay; BIDIRECTIONAL ASSOCIATIVE MEMORIES; VARYING DELAYS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the pth moment exponential stability of stochastic bidirectional associative memory (BAM) neural networks with time delays and impulses based on the stochastic differential equation theory and norm approximation theory. By estimating the solutions of stochastic differential equation, some criteria ensuring the BAM neural networks stability are obtained. Different from some existing results, the proposed method is much more simple and only depends on the parameters of the BAM neural networks.

引用

页码：3423 / 3428

页数：6

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