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.
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页码：869 / 873
页数：5
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