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Asymptotic stability analysis and model reduction for spatially interconnected time-delay systems

机译:空间互连的时滞系统的渐近稳定性分析与模型减少

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摘要

This paper deals with problems of asymptotic stability analysis and model reduction for spatially interconnected continuous time-delay systems. The well-posedness, asymptotic stability, and contractiveness of spatially interconnected continuous-time state-delay systems are appropriately defined. The Lyapunov-Krasovskii method is extended for asymptotic stability analysis of spatially interconnected continuous time-delay systems in infinite-dimensional space. A sufficient condition based on the given system matrices is presented in terms of linear matrix inequalities to check the well-posedness, asymptotic stability, and contractiveness. We then obtain a sufficient condition for the existence of a delay-free reduced-order system for a given spatially interconnected continuous time-delay system. Employing the elimination lemma and the cone complementary linearization algorithm, we can obtain a delay-free reduced-order system. Finally, two examples are used to demonstrate the effectiveness and applicability of the proposed method. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文涉及空间互连的连续时间延迟系统的渐近稳定性分析和模型减少问题。适当地定义了空间互连的连续状态延迟系统的良好良好,渐近稳定性和收缩性。 Lyapunov-Krasovskii方法延伸,用于在无限尺寸空间中空间互连的连续时间延迟系统的渐近稳定性分析。基于给定系统矩阵的足够条件以线性矩阵不等式呈现,以检查良好的姿势,渐近稳定性和收缩性。然后,我们获得足够的条件,以存在于给定空间互连的连续时间延迟系统的无延迟减速系统。采用消除引理和锥形互补线性化算法,我们可以获得无延迟的缩小系统。最后,使用两个例子来证明所提出的方法的有效性和适用性。 (c)2020富兰克林学院。 elsevier有限公司出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2020年第17期|12670-12699|共30页
  • 作者单位

    Nanjing Univ Sci & Technol Sch Sci China 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Sci China 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Sci China 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Sci China 210094 Jiangsu Peoples R China;

    Nanyang Technol Univ Sch Elect & Elect Engn Nanyang Ave Singapore 639798 Singapore;

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