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

机译:随机延时的网络马尔可夫跳转系统的强大H∞故障检测

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摘要

This paper investigates the problem of robust H∞ 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∞ performance are derived. The method of calculating controller, fault detection filter gain matrices, and the minimal H∞ attenuation level is also obtained. Finally, one numerical example is used to illustrate the effectiveness of the proposed method.
机译:本文研究了网络马尔可夫跳转系统的鲁棒H∞故障检测问题,该跳跃系统与网络引入的随机延迟。随机时间延迟被建模为Markov过程,网络的马尔可夫跳转系统被建模为包含两个马尔可夫链的控制系统。构造延迟相关的故障检测滤波器。此外,推导出使闭环系统随机稳定和达到规定的H∞性能的充分和必要条件。还获得了计算控制器,故障检测滤波器增益矩阵和最小H∞衰减水平的方法。最后,使用一个数值例子来说明所提出的方法的有效性。

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