Stability Analysis for Neural Networks with Time-Varying Delays and Inverse Lipschitz Neuron Activations

被引：0

作者：

Duan, Chengjun ^{[1
]}

Song, Qiankun ^{[1
]}

机构：

[1] Chongqing Jiaotong Univ, Dept Math, Chongqing 400074, Peoples R China

来源：

PROCEEDINGS OF THE 7TH CONFERENCE ON BIOLOGICAL DYNAMIC SYSTEM AND STABILITY OF DIFFERENTIAL EQUATION, VOLS I AND II | 2010年

关键词：

inverse Lipschitz function; equilibrium point; global asymptotical stability; DISCRETE;

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, we investigate some kind of neural networks with time-varying delays and inverse Lipschitz functions. Here we research on the properties of global asymptotical stability of such network. Furthermore, we establish some sufficient condition to the existence and uniqueness of equilibrium point.

引用

页码：588 / 591

页数：4

共 7 条

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