Improved Stability Criteria for Delayed Neural Networks

摘要：

This paper is concerned with the stability problem of delayed neural networks. An improved integral inequality Lemma is proposed to handle the crossproduct terms occurred in the derivative of Lyapunov functional. By using the new lemma and a novel delay decomposition approach, we propose the new delayrange-dependent stability criteria for time varying delay neural networks. The sufficient conditions obtained in this paper are less conservative than those in the former literature.

作者: Min Zheng Minrui Fei Taicheng Yang Yang Li

作者单位: College of Mechatronic Engineering and Automation, Shanghai University Shanghai Key Laboratory of Po Department of Engineering and Design, University of Sussex,Brighton BN1 9QT, UK

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 123-128

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）