Exponential stability of bidirectional associative memory neural networks with delays and impulsive

被引:1
作者
Zhang, Chaolong [1 ]
Yang, Fengjian [1 ]
Li, Wei [1 ]
Wu, Dongqing [1 ]
机构
[1] Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
来源
2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年
关键词
D O I
10.1109/ICAL.2007.4338927
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper a model of impulsive BAMs neural networks is first formulated. We investigate impulsive effects on the stability of BAMs neural networks with delays and obtain some sufficient conditions ensuring exponential stability of the impulsive delay system. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks.
引用
收藏
页码:2128 / 2132
页数:5
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