Mean Square Stability for Stochastic Neural Networks with Distributed and Interval Time-varying Delays

摘要：

This paper is concerned with the asymptotic stability analysis problem for stochastic neural networks with distributed and interval time-varying delays. By using the stochastic analysis approach, employing some free-weighting matrices and introducing an appropriate type of Lyapunov functional which takes into account the ranges of delays, a new delay-range-dependent stability criterion is established to guarantee the delayed neural networks to be asymptotically stable in the mean square. A numerical example has also been used to demonstrate the usefulness of the main result.

关键词： Stability Stochastic Neural networks Distributed delays Interval time-varying delays Linear matriz inequalities(LMIs)

作者: Haixia Wu Wei Feng Wei Zhang Songjian Dan

作者单位: Department of Computer and Modern Education Technology, Chongqing Education College, Chongqing 40006 Department of Computer and Modern Education Technology, Chongqing Education College, Chongqing 40006 Department of Further Education , Chongqing Education College, Chongqing 400067, 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: 3224-3228

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）