Exponential Stability of Bidirectional Associative Memory Neural Networks with Distributed Delays and Impulsive

被引：3
|
作者：
Zhang, Chaolong [1 ]
Yang, Fengjian [1 ]
Wu, Dongqing [1 ]
Yang, Jianfu [1 ]
机构：
[1] Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
来源：
2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年
关键词：
D O I：
10.1109/CCDC.2008.4597417
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Some sufficient conditions are obtained for the global exponential stability of a solution and existence of the periodic solution to the general bidirectional associative memory (BAM) neural networks with distributed delay and impulsive by using the Lyapunov functional and some inequality technique. These results are helpful for designing a globally exponential stable and periodic oscillatory BAM neural network,and the conditions can be easily applied in practice. An example is also given to illustrate our results.
引用
收藏
页码：769 / 773
页数：5
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