pth Moment Exponential synchronization of Impulsive Fuzzy Cohen- Grossberg Neural Networks with Variable Coefficients and Timevarying Delays Under Noise Perturbation

摘要：

Abstract: In this paper, we consider a class of impulsive fuzzy Cohen-Grossberg neural networks with variable coefficients and time-varying delays. By establishing an L- operator differential inequality and using stochastic analysis technique, we obtain some new sufficient conditions for the pth moment exponential synchronization of the fuzzy Cohen-Grossberg neural networks under noise perturbation. Moreover, the exponential synchronization convergence rate is s also obtained. The criteria extend and improve some earlier results.

关键词： Cohen-Grossberg Neural Networks(FCGGNs) Impulsive Variable Coefficients pth Moment Exponential Synchronization L-operator Differential Inequality

作者: Fajin Qin Xiaojie Yao

作者单位: Department of Mathematics and computer science, Liuzhou Teachers College, Liuzhou , Guangxi 545004, China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3371-3376

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）