Exponential Stability of Cellular Neural Networks with Time-varying Delay

摘要：

A novel method is proposed in this note for exponential stability of cellular neural networks with time-varying delay.New delaydependent exponential stability conditions of cellular neural network with time-varying delay is presented by constructing Lyapunov function and using linear matrix inequality (LMI).Finally,a numerical example is given to demonstrate the effect of the proposed method.

关键词： delayed cellular neural networks (DCNNs) Lyapunov functional LMI Exponential stability

作者: Xue-li Wu Wen-xia Du Yan-hong Wang Zhan-tong Zhou

作者单位: Hebei University of Science and Technology,Shijiazhuang,050054;Engineering Technology Research Centr YanShan University Qinhuangdao 066004;Hebei Normal University,Shijiazhuang,050031 Hebei University of Science and Technology

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）