Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Coefficients

摘要：

In this paper,the global exponential stability of fuzzy cellular neural networks(FCNNs)with variable coefficients and unbounded delays was investigated.Without assuming the boundedness and differentiability of the activation functions,based on the properties of M-matrix,by constructing vector Lyapunov functions and applying difierential inequalities.the sumcient conditions ensuring globally exponential stability of the equilibrium point of fuzzy cellular neural networks with variable coemcients and unbounded delays are obtained.

关键词： global exponential stability fuzzy cellular neural networks Lyapunov function unbounded delay

作者: Lan Long Dianbo Ren Jiye Zhang

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 669-672

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）