Exponential p-stability of Impulsive Stochastic Cohen-Grossberg Neural Networks with Variable Coefficients and Mixed Delays

摘要：

In this paper, we consider a class of impulsive stochastic Cohen-Grossberg neural networks with variable coefficients and mixed delays. By establishing an L - operator differential inequality and using stochastic analysis technique, we obtain the exponential p- stability of the impulsive stochastic cohen-Grossberg neural networks with variable coefficients and mixed delays . These results are new and generalize a few pervious known results.

关键词： Impulsive Stochastic Cohen-Grossberg Neural Networks Variable Coefficients Exponential -stability Mixed Delays L-operator Differential Inequality

作者: Xiaojie Yao Fajin Qin

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: 3377-3382

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）