The exponential stability of BAM neural networks with leakage time-varying delays and sampled-data state feedback input

Advances in Difference Equations

Yongqing Yang¹  Manfeng Hu²  Tian Liang²  Li Li² 

[1] Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China;School of Science, Jiangnan University, Wuxi, China

关键词: BAM neural networks;    leakage delays;    sampled data;   

DOI  :  10.1186/1687-1847-2014-39

学科分类：数学（综合）

来源: SpringerOpen

【 摘 要 】

In this paper, the exponential stability of bidirectional associative memory neural networks with leakage time-varying delays and sampled-data state feedback input is considered. By applying the time-delay approach, some conditions for ensuring the stability of a system are obtained. In addition, a numerical example is given to demonstrate the effectiveness of the obtained results.

【 授权许可】

CC BY