Mean-square Exponential Stability of Stochastic Interval Cellular NEURAL NETWORKS WITH TIME-VARYING DELAY

摘要：

　　This paper is concerned with the mean-square exponential stability analysis problem for a class of stochastic interval cellular neural networks with time-varying delay.By using the stochastic analysis approach,employing Lyapunov function and norm inequalities,several mean-square exponential stability criteria are established in terms of the It(o) formula and Razumikhin theorem to guarantee the stochastic interval delayed cellular neural networks to be mean-square exponential stable.Some recent results reported in the literatures are generalized.A kind of equivalent description for this stochastic interval cellular neural networks with time-varying delay is also given.

关键词： Stochastic Cellular Neural Networks Exponential Stability Lyapunov function It(o) formula Time-varying delay

作者: Jinfang Han

作者单位: Inst.of Eng.Math.,Hebei University of Science and Technology,Shijiazhuang,050018,P.R.China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 667-672

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）