An analysis of global robust stability of neural networks with discrete time delays

被引：19
|
作者：
Ozcan, Neyir
Arik, Sabri [1 ]
机构：
[1] Univ Istanbul, Dept Comp Engn, TR-34320 Avcilar, Turkey
[2] Univ Istanbul, Dept Elect, TR-34320 Avcilar, Turkey
来源：
PHYSICS LETTERS A | 2006年 / 359卷 / 05期
关键词：
EXPONENTIAL STABILITY; VARYING DELAYS; ASYMPTOTIC STABILITY;
D O I：
10.1016/j.physleta.2006.06.055
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This Letter presents a new sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for neural networks with discrete time delays. The obtained condition can be easily verified as it is in terms of the network parameters only. Some numerical examples are given to compare our results with previous robust stability results derived in the literature. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：445 / 450
页数：6
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