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Robust H_∞ Fault Detection for Networked Markov Jump Systems with Random Time-Delay

机译:随机时滞网络马尔可夫跳跃系统的鲁棒H_∞故障检测

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This paper investigates the problem of robust H-infinity fault detection for networked Markov jump systems with random time-delay which is introduced by the network. The random time-delay is modeled as a Markov process, and the networked Markov jump systems are modeled as control systems containing two Markov chains. The delay-dependent fault detection filter is constructed. Furthermore, the sufficient and necessary conditions which make the closed-loop system stochastically stable and achieve prescribed H-infinity performance are derived. The method of calculating controller, fault detection filter gainmatrices, and the minimal H-infinity attenuation level is also obtained. Finally, one numerical example is used to illustrate the effectiveness of the proposed method.
机译:本文研究了网络引入的具有随机时延的网络马尔可夫跳跃系统鲁棒的H-∞故障检测问题。随机延时被建模为马尔可夫过程,而网络化的马尔可夫跳跃系统被建模为包含两个马尔可夫链的控制系统。构造了与时延有关的故障检测滤波器。此外,得出了使闭环系统随机稳定并达到规定的H-无穷大性能的充分必要条件。还获得了控制器的计算方法,故障检测滤波器的增益矩阵以及最小的H无限衰减水平。最后,通过一个数值例子说明了该方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第8期|2608140.1-2608140.9|共9页
  • 作者单位

    Huzhou Univ, Sch Engn, Huzhou 313000, Zhejiang, Peoples R China;

    Huzhou Univ, Sch Engn, Huzhou 313000, Zhejiang, Peoples R China;

    Huzhou Univ, Sch Engn, Huzhou 313000, Zhejiang, Peoples R China;

    Huzhou Univ, Sch Engn, Huzhou 313000, Zhejiang, Peoples R China;

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