Impulsive Stabilization of Discrete-time Pure-delayed Neural Networks

被引：0

作者：

Zhang, Wei ^{[2
]}

Li, Chuandong ^{[1
]}

Wei, Pengcheng ^{[2
]}

机构：

[1] Chongqing Univ, Dept Comp, Chongqing 400044, Peoples R China

[2] Chongqing Educ Coll, Dept Comp Sci, Chongqing 400067, Peoples R China

来源：

INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION | 2010年 / 11卷

基金：

中国国家自然科学基金;

关键词：

Discrete-time neural networks; impulse; time delay; stabilization; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; DYNAMICS;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper studies global exponential stabilization of the equilibrium point of discrete-time Pure-Delayed Neural Networks (PDNN) via impulse effects. Due to the effects of time delay, Neural Networks (NN) might not asymptotically stable; while shrinking effects of impulse may make PDNN stabilized. The present results show that small impulse can compensate the deviation of impulse-free PDNN from its equilibrium point.

引用

页码：71 / 75

页数：5

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