Dynamics of Cohen-Grossberg neural networks with time-varying delays

被引：37
作者：
Jiang, Haijun [1 ]
Cao, Jinde
Teng, Zhidong
机构：
[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China
[2] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
来源：
PHYSICS LETTERS A | 2006年 / 354卷 / 5-6期
基金：
中国国家自然科学基金;
关键词：
Cohen-Grossberg neural networks; time-varying delay; boundedness; global exponential stability; equilibrium point;
D O I：
10.1016/j.physleta.2006.01.078
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This Letter studies the Cohen-Grossberg networks dynamical systems with variable coefficients and time-varying delays. By applying the Young inequality technique, Dini derivative and introducing many real parameters, and estimating the upper bound of solutions of the system, a series of new and useful criteria on the boundedness, global exponential stability are established. The results obtained in this Letter extend and generalize the corresponding results existing in previous literature. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：414 / 422
页数：9
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