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Further improvement in delay-dependent stability criteria for continuous-time systems with time-varying delays

机译:具有时变时滞的连续时间系统的时延相关稳定性标准的进一步改进

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摘要

This study is concerned with the issue of delay-dependent stability criteria for continuous-time systems with time-varying delays. By introducing an appropriate Lyapunov-Krasovskii functional and the improved reciprocally convex technique, a new less conservative and simplified stability criterion is obtained in terms of linear matrix inequalities (LMIs). At last, numerical examples are also designated to demonstrate the effectiveness and reduced conservatism of the developed results.
机译:这项研究涉及具有时变时滞的连续时间系统的时滞相关稳定性标准问题。通过引入适当的Lyapunov-Krasovskii泛函和改进的往复凸技术,就线性矩阵不等式(LMI)而言,获得了一个新的,较不保守和简化的稳定性准则。最后,还通过数值例子说明了所开发结果的有效性和降低的保守性。

著录项

  • 来源
    《Neurocomputing》 |2015年第5期|324-329|共6页
  • 作者

    Bing Wang; Yong Zeng; Jun Cheng;

  • 作者单位

    School of Information and Electrical Engineering, Panzhihua University, Panzhihua, Sichuan 617000, PR China;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, 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

    Continuous time; Neural networks; Linear matrix inequality; Lyapunov-Krasovskii function;

    机译:连续时间;神经网络;线性矩阵不等式;Lyapunov-Krasovskii函数;

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