Analysis of Global Asymptotic Stability of Delayed Recurrent Neural Networks

摘要：

In this paper, the global asymptotic stability and the existence of equilibrium are considered for a general class of recurrent neural networks with delays by using nonsmooth analysis and Lyapunov methods. New criteria are obtained, which does not require the boundedness of activation functions and the symmetry of the connection matrices. An example is given to illustrate the effectiveness of the results.

作者: Guanjun Li Jin Xu

作者单位: Department of Mathematics Southeast University Nanjing, 210096;Department of Mathematics Huainan Nor Department of Mathematics Huainan Normal University Huainan, 232001

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）