Periodic oscillatory solution to delayed BAM neural networks with impulses

被引：0

作者：

Liu, ZG ^{[1
]}

Chen, AP

Huang, LH

机构：

[1] Xiangnan Univ, Dept Math, Chenzhou 423000, Peoples R China

[2] Hanshan Normal Univ, Coll Math & Technol, Guangdong 521041, Peoples R China

[3] Hunan Univ, Coll Math & Econometr, Changsha 410082, Peoples R China

来源：

INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION | 2004年 / 5卷 / 04期

关键词：

BAM neural networks; exponential stability; periodic solution; impulse;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

By constructing suitable Lyapunov functional, ingeniously introducing some parameters, and applying some analytical techniques, we study the existence and global exponential stability of periodic solution to the delayed BAM neural networks with impulses, obtain some sufficient conditions. These results improve and extend some previous results and have important leading significance in the designing globally exponentially stable and periodic oscillatory delayed BAM neural networks with impulses.

引用

页码：355 / 362

页数：8

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