Stability of cellular neural networks with time varying delay

摘要：

In this paper,the global asymptotic stability of a class of delayed cellular neural networks is studied.Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality (LMI).A numerical example is presented to illustrate the effectiveness of our theoretical results.

关键词： stability neural networks time delay.

作者: Jian-hua Zhang Xue-li Wu Hui-guang Li Xin-ping Guan

作者单位: Yanshan University,Qinhuangdao,066004,P.R.China Hebei University of Science and Technology,Shijiazhuang,050054,P.R.ChinaEngineering Technology Resea

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）