Stability analysis of a class of generalized neural networks with delays

被引：1
|
作者：
Zhou, L [1 ]
Zhou, MR
机构：
[1] Nantong Univ, Dept Math, Nantong 226000, Peoples R China
[2] Xuzhou Normal Univ, Dept Math, Xuzhou 221116, Peoples R China
来源：
PHYSICS LETTERS A | 2005年 / 337卷 / 03期
关键词：
neural networks; delay; global asymptotic stability; global exponential stability; matrix inequality; Lyapunov functional;
D O I：
暂无
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this Letter, we discuss the global asymptotic stability and exponential stability of the equilibrium point of a class of generalized neural networks with delays. By introducing a new type of Lyapunov functionals and making use of matrix inequality technique, some sufficient conditions for existence and uniqueness of equilibrium and global exponential stability of the delayed Cohen-Grossberg neural networks are obtained. The conditions of the presented results are less restrictive than those of the earlier literature. (c) 2005 Elsevier B.V. All rights reserved.
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页码：203 / 215
页数：13
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