A based-on matriz factorization ezponential stability criterion for delayed neural networks with variable delays

摘要：

A set of criteria for exponential stability of a class of delayed neural networks with variable delays are presented through the combination of Lyapunov-Krasovskii functional with matrix factorization theory. Our results unify and generalize all these appeared in the previous references.

关键词： Lyapunov-Krasovskii functional matriz factorization ezponential stability variable delays

作者: Yun Qian Chang-bo Yang Wen-jing Wu

作者单位: Department of Mathematics,Chaohu college, Chaohu, Anhui, 238000 China Department of Mathematics, Kunming University, Kumning, 650081, China Department of Mathematics and Physics, Hefei University, Hefei, 230039, China

会议类型: 国际会议

会议名称: The Third International Workshop on Applied Matriz Theory(第三届国际矩阵分析与应用会议)

会议地点: 杭州

会议语种:英文

页码: 131-134

在线出版日期: 2009-07-09（万方平台首次上网日期，不代表论文的发表时间）