GLOBAL EXPONENTIAL STABILITY FOR IMPULSIVE CELLULAR NEURAL NETWORKS WITH DISCRETE AND DISTRIBUTED TIME-VARYING DELAYS

被引：0
|
作者：
Xiang, Ze-Ying [1 ,2 ]
Zhong, Shou-Ming [1 ]
Luo, Hao [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Appl Math, Chengdu 610054, Peoples R China
[2] Southwest Univ Sci & Technol, Sch Sci, Sichuan 621010, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008) | 2008年
关键词：
Global exponential stability; impulsive cellular neural networks; Delays; Linear matrix inequality (LMI);
D O I：
10.1109/ICACIA.2008.4770046
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, the global exponential stability for a class of impulsive cellular neural networks with discrete and distributed time-varying delays is considered. The results are based on the Lyapunov-Krasovskii functional stability analysis for differential equations and the linear matrix inequality (LMI) optimization approach. Some numerical examples are given to show the effectiveness of our results.
引用
收藏
页码：373 / +
页数：2
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