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Delay-dependent exponential stability analysis for discrete-time switched neural networks with time-varying delay

机译:时变时滞的离散时间切换神经网络的时滞相关指数稳定性分析

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摘要

In this paper, we focus on the stability problem for discrete-time switched neural networks with time-varying delay resorting to the average dwell time method. In terms of linear matrix inequality approach, a delay-dependent sufficient condition of exponential stability is developed for a kind of switching signal with average dwell time. A numerical example is given to show the validness of the established result.
机译:在本文中,我们关注具有时滞的离散时间切换神经网络的稳定性问题,该问题依赖于平均停留时间方法。根据线性矩阵不等式方法,针对一类具有平均停留时间的开关信号,建立了一个与延迟有关的指数稳定的充分条件。数值例子说明了所建立结果的有效性。

著录项

  • 来源
    《Neurocomputing》 |2011年第10期|p.1626-1631|共6页
  • 作者单位

    National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Yuquan Campus, Hangzhou Zhejiang 310027, PR China;

    Department of Computing and Mathematical Sciences, University of Clamorgan, Pontypridd CF37 1DL, UK,School of Engineering and Science, Victoria University, Melbourne, 8001 Vic, Australia;

    National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Yuquan Campus, Hangzhou Zhejiang 310027, PR China;

    National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Yuquan Campus, Hangzhou Zhejiang 310027, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    switched neural networks; time-varying delays; exponential stability; average dwell time; linear matrix inequality (LMI);

    机译:开关神经网络;时变时滞;指数稳定性;平均停留时间;线性矩阵不等式(LMI);

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