Stability of impulsive fuzzy BAM neural networks with hybrid delays

摘要：

In this paper, impulsive fuzzy bi-directional associative memory (BAM) neural networks with both distributed delays and time-varying delays are considered. Constructing a vector Lyapunov function, applying M-matrix theory and differential inequality techniques, some sufficient conditions are obtained to ensure the existence, uniqueness and global exponential stability of equilibrium point for the addressed neural network. The results generalize and complete previous known results.

关键词： Fuzzy BAM neural networks Equilibrium point Globally exponential stability: Hybrid delays Impulse

作者: Qianhong Zhang Lihui Yang Daixi Liao

作者单位: Guizhou Key Laboratory of Economics System Simulation, Guizhou College of Finance and Economics Guiy Department of Mathematics, Hunan City University, fiyang. Hunan 413000. P. R.China Basic Science Department, Hunan Institute of Technology, Hengyang, Hunan 421002, P.R.China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 317-322

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）