Exponential p-Stability for a Delayed Recurrent Neural Networks with Impulses

摘要：

　　This paper considers the problem of global exponential p-stability for a delayed recurrent neural networks with fixed moments of impulsive effect.Some novel criteria are obtained to ensure the exponential p-stability of equilibrium point for these networks by using M-matrix theory and inequality techniques.In addition,these criteria are in term of M-matrix with an adjustable parameter p,which extend and unify some previously known results in the literature.

作者: C.-B.YANG T.WANG Y.-X.WEN Y.-G.XU S.-Y.HONG

作者单位: Institute of Nonlinear Analysis, Kunming University, Kunming, 650214 School of Information Technology, Kunming University, Kunming, 650214

会议类型: 国际会议

会议名称: Sixth International Conference on Nonlinear Mechanics(第六届国际非线性力学会议)(ICNM-VI)

会议地点: 上海

会议语种:英文

页码: 298-301

在线出版日期: 2013-08-01（万方平台首次上网日期，不代表论文的发表时间）