Global exponential convergence analysis of delayed cellular neural networks

被引：0
|
作者：
Zhang, Q [1 ]
Ma, RN
Wang, C
Xu, J
机构：
[1] Xidian Univ, Inst Elect Engn, Xian 710071, Peoples R China
[2] Huazhong Univ Sci & Technol, Inst Syst Sci, Wuhan 430074, Peoples R China
来源：
CHINESE PHYSICS | 2003年 / 12卷 / 01期
关键词：
global exponential stability; delayed cellular neural networks; delay differential inequality; Lyapunov functionals;
D O I：
暂无
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Some sufficient criteria have been established to ensure the global exponential stability of delayed cellular neural networks by using an approach based on delay differential inequality. Compared with the method of Lyapunov functionals as in most previous studies, our method is simpler and more effective for a stability analysis of delayed system. Some previously established results in the literature are shown to be special cases of the present result.
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页码：22 / 24
页数：3
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