Exponential Stability of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delays and Reaction-diffusion Terms

摘要：

The global exponential stability of a class of fuzzy Cohen-Grossberg neural networks (FCGNN) with distributed delays and reaction-diffusion terms are investigated. Based on the properties of M-matrix, by constructing vector Liapunov functions and applying differential inequalities, the sufficient conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of FCGNN with distributed delays and reaction-diffusion terms are obtained.

关键词： Stability FCGNN Distributed Delays Reactiondiffusion

作者: Weifan Zheng Jiye Zhang Mingwen Wang Hongjun Wang Jianhuai Qi

作者单位: Information Research Institute, National Traction Power Laboratory Southwest Jiaotong University (SW National Traction Power Laboratory, SWJTU Chengdu, China Information Research Institute, SWJTU,Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1899-1903

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）