Existence and global exponential stability of periodic solution for the static neural network with time-delays

摘要：

The dynamics of the local field neural networks have been studied extensively, and many good results have been obtained. It should be pointed out that, the stability of periodic solution for the static neural networks with time-delays received very little attention despite its practical importance. In this paper, by using the fixed point theory , Lyapunov functional and differential inequality technique, we study the existence and global exponential stability of periodic solution for the static neural networks with time-delays.

作者: Guang-Rong Ji Yang-Fan Wang Li-Hong Wang

作者单位: College of Information Science Ocean University of China Qingdao, P. R. China 266071 College of Information Science Ocean University of China Qingdao,P. R. China 266071 College of Engineering Ocean University of China Qingdao,P. R. China 266071

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）