Matrix measure strategies for stabilization and synchronization of delayed BAM neural networks

被引：1
作者：
Yong Li
Chuandong Li
机构：
[1] Southwest University,College of Electronic and Information Engineering
来源：
Nonlinear Dynamics | 2016年 / 84卷
关键词：
Global exponential stabilization; Global exponential synchronization; BAM neural networks; Matrix measure; Time delays;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, global exponential stabilization and synchronization of a class of bidirectional associative memory (BAM) neural networks with time delays are investigated. Based on the Lyapunov stability theory and matrix measure, we present several sufficient conditions for the global exponential stability of the equilibrium point and several criteria for the global exponentially synchronization. The presented results, which are easy to verify and simple to implement in practice, also provide new insights into the exponential stabilization and synchronization of BAM neural networks. One numerical example is given to illustrate the effectiveness of our theoretical results.
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页码：1759 / 1770
页数：11
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