Exponential Stability of Periodic Solution of Impulsive Fuzzy BAM Neural Networks with Time-varying Delays

被引：7
|
作者：
Huang, Tingwen [1 ]
Huang, Hui [2 ]
机构：
[1] Texas A&M Univ, Qatar Fdn, POB 5825, Doha, Qatar
[2] Chongqing Logist & Engn Coll, Fundamental Study Dept, Chongqing, Peoples R China
来源：
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/IJCNN.2008.4633900
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we study impulsive fuzzy BAM neural networks. Criteria are obtained for exponential stability of globally exponential stability of periodic solution of time-varying delayed fuzzy neural networks with impulses. The criteria obtained in this paper is easily verifiable. It is believed that it is useful in design neural networks in practices.
引用
收藏
页码：869 / 873
页数：5
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