Existence and global exponential stability of anti-periodic solution for delayed neural networks with impulses

摘要：

In this paper, we investigate a class of delayed neural networks with impulses. By employing the delay differential inequality with impulses, a set of sufficient conditions are derived to ensure the existence and global exponential stability of the anti-periodic solution, which are new and substantially extend the previous results.

关键词： global exponential stability anti-periodic solutions impulses delayed neural networks

作者: Chunge Lu Linshan Wang Ruojun Zhang

作者单位: Department of Ocean University of China, Qingdao, 266100, China

会议类型: 国际会议

会议名称: The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)

会议地点: 南京

会议语种:英文

页码: 194-200

在线出版日期: 2011-06-01（万方平台首次上网日期，不代表论文的发表时间）