Novel delay-dependent stability criterion for neural networks with time-varying delay

摘要：

In this paper, the problem of delay-dependent asymptotic stability criterion for neural networks with time-varying delay is considered. A new class of Lyapunov functional which contains a tripe-integral term is constructed to derive some new delay-dependent stability criterion. The obtained criterion is less conservative because free-weighting matrices method and a convex optimization approach are considered. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Delay-dependent stability neural networks Time-varying delay linear matrix inequality (LMI)

作者: Junkang Tian Shouming Zhong

作者单位: School of Mathematical Science, University of Electronic Science and Technology of China,Chengdu 611 School of Mathematical Science, University of Electronic Science and Technology of China,Chengdu 611

会议类型: 国际会议

会议名称: The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)

会议地点: 南京

会议语种:英文

页码: 548-554

在线出版日期: 2011-06-01（万方平台首次上网日期，不代表论文的发表时间）