Delay-dependent stability criterion of delayed recurrent neural networks via LMI approach

摘要：

In this paper, we consider the problem of the stability for a delayed recurrent neural networks. The delaydependent criterion is presented in terms of linear matrix inequalitiy (LMI). Numerical examples are given to show that our result is less conservative than the existing result.

关键词： Delay-dependent Recurrent neural networks LMI

作者: Weiping Bi Yonghua Zhao Xuegang Mu Junfeng Zhang

作者单位: College of Mathematics and Information Science, Henan Normal University, 453007 Xinxiang, P. R. China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4147-4150

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）