New conditions for dynamical behaviors of cellular neural networks with time-varying delays

摘要：

In this paper, a model describing dynamics of cellular neural networks with time-varying delays is considered. Without assuming Lipschitz conditions on activation functions, by employing Brouwers fixed point theorem and applying inequality technique, some new sufficient conditions on the existence, uniqueness and exponential stability of equilibrium point are obtained. Finally, two examples with their numerical simulations are provided to show the correctness of our analysis.

关键词： Cellular neural networks Time-varying delays Exponential stability Equilibrium point

作者: Zisen Mao Feifei Dou Lijun Cheng

作者单位: College of Science PLA University of Science and Technology Nanjing, P.R.China, 211101 School of Psychology Shandong Normal University Jinnan, P.R.China, 250014 Psychological Counseling Central of XiaoRan Nanjing, P.R.China, 210002

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 211-215

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）