On impulsive autoassociative neural networks

被引：132
|
作者：
Guan, ZH [1 ]
Lam, J
Chen, GR
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China
[2] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
[3] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77204 USA
来源：
NEURAL NETWORKS | 2000年 / 13卷 / 01期
基金：
中国国家自然科学基金;
关键词：
autoassociative neural networks; equilibria; impulsive differential equations; stability;
D O I：
10.1016/S0893-6080(99)00095-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Many systems existing in physics, chemistry, biology, engineering, and information science can be characterized by impulsive dynamics caused by abrupt jumps at certain instants during the process. These complex dynamical behaviors can be modeled by impulsive differential systems or impulsive neural networks. This paper formulates and studies a new model of impulsive autoassociative neural networks. Several fundamental issues, such as global exponential stability and existence and uniqueness of equilibria of such neural networks, are established. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：63 / 69
页数：7
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