Dynamical Analysis for High-Order Delayed Hopfield Neural Networks with Impulses

被引：0
作者：
Li, Dengwang [1 ]
机构：
[1] Shandong Normal Univ, Coll Phys & Elect, Jinan 250014, Peoples R China
来源：
ABSTRACT AND APPLIED ANALYSIS | 2012年
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
GLOBAL ASYMPTOTIC STABILITY; EXPONENTIAL STABILITY; NEUTRAL-TYPE; CRITERIA; OSCILLATION;
D O I：
10.1155/2012/825643
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The global exponential stability and uniform stability of the equilibrium point for high-order delayed Hopfield neural networks with impulses are studied. By utilizing Lyapunov functional method, the quality of negative definite matrix, and the linear matrix inequality approach, some new stability criteria for such system are derived. The results are related to the size of delays and impulses. Two examples are also given to illustrate the effectiveness of our results.
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页数：17
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