Robust stability for uncertain impulsive autoassociative-neural networks

被引：0
|
作者：
Qian, TH [1 ]
Guan, ZH
Chen, GR
机构：
[1] Huazhong Univ Sci & Technol, Dept Automat Control, Hankou Branch, Wuhan 430012, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[3] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2003年 / 10卷 / 1-3期
关键词：
impulsive autoassociative neural network; uncertainty; equilibrium; robust stability;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Many complex dynamical behaviors in the real world can be modelled by interval impulsive differential systems or interval impulsive neural networks. This paper formulates and studies a model for the uncertain interval impulsive autoassociative neural, networks. The fundamental issue of global exponential robust stability of this new model is investigated and some sufficient stability conditions are obtained.
引用
收藏
页码：69 / 79
页数：11
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