Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays and Distributed Delays

摘要：

In this paper,the existence and uniqueness of the equilibrium point and global stability of fuzzy cellular neural networks (FCNNs) with Lipschitz continuous activation functions are investigated.The neural networks contain both variable delays and distributed delays.By constructing proper vector Lyapunov functions and applying M-matrix theory,with some novel sufficient conditions the existence and uniqueness of equilibrium point and global exponential stability of FCNNs with variable delays and distributed delays are ensured.

关键词： fuzzy cellular neural networks M-matrix theory global exponential stability variable delays distributed delays

作者: Yandong Wu Qianhong Zhang

作者单位: Department of Computing Science,Huaiyin Institute of Technology,Huaian,Jiangsu 223002,China Department of Basic Science,Hunan Institute of Technology,Hengyang,Hunan 421008,China; School of Mat

会议类型: 国际会议

会议名称: 中国数学会生物数学分会第六届学术年会

会议地点: 山东泰安

会议语种:英文

页码: 695-699

在线出版日期: 2008-07-25（万方平台首次上网日期，不代表论文的发表时间）