New Delay Segment-Dependent Asymptotic Stability for Stochastic Neural Networks With Interval Time-Varying Delay and Distributed Delays

摘要：

This paper deals with the problem of stability for a class of stochastic neural networks with interval timevarying delays and distributed delay. Based on the idea of nonuniform partitioning the delay interval, new delay-interval dependent stability are proposed by constructing a novel Augmented Lyapunov-Krasovskii functional in terms of linear matrix inequalities(LMIs).

关键词： Stochastic neural networks nonuniform delay partitioning stability interval time-varying delays

作者: Jianwei Xia Xianping Chen Yonggang Chen Yongmin Li

作者单位: School of Automation, Southeast University, Nanjing,Jiangsu, China,and School of Mathematics Science School of Mathematics Science,Liaocheng University,Liaocheng,Shandong,China Department of Mathematics, Henan Institute of Science and Technology,Xinxiang,Henan,China Department of Mathematics, School of Science,Huzhou Teachers College,Huzhou,and School of Automation

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3896-3900

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）