A New Global Asymptotic Stability Result for Delayed Cellular Neural Networks

摘要：

This paper studies the problem of global asymptotic stability for delayed cellular neural networks(DCNNs). A new stability condition is obtained by utilizing the Lyapunov functional method and the matrix inequality approach. This condition is less restrictive and generalizes some of the previous stability results derived in the literature.

关键词： Delayed neural networks Global asymptotic stability Lyapunov functionals Matriz inequality

作者: Jing Liu Ce Zhang

作者单位: Department of Mathematics and Information science, Binzhou University, Shandong 256603, 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: 4061-4063

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）