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Robust H#x221E; fault detection filter for networked control system with network-induced uncertainties

机译:网络控制系统具有网络诱导的不确定性的鲁棒H∞故障检测滤波器

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A robust fault detection filter (RFDF) design problem for networked control system (NCS) is investigated in this note. Network-induced uncertainties including time-varying unknown network-induced delay and data packet dropout are assumed to be existing in both sensor-to-controller link and controller-to-actuator link, where the total network-induced delay is transformed into uncertainty of system model, and the data packet dropout is described as a two-state Markov chain. Then, the closed NCS with network-induced uncertainties is modeled as a Markovian jump system with model uncertainty. An observer-based fault detection filter is presented as a residual generator and a performance index is proposed to deal with the robustness issues, which is to enhance the robustness of the residual generator against network-induced uncertainties and disturbances, without significant loss of the faults sensitivity. Sufficient condition for asymptotically mean-square stable of residual dynamics is derived, and the desired RFDF is obtained, which is constructed in terms of certain linear matrix inequality. Finally, a numerical example illustrates the effectiveness of the proposed approach.
机译:在本说明中研究了网络控制系统(NCS)的强大故障检测滤波器(RFDF)设计问题。网络引起的不确定性,包括随时间变化的未知网络时延和数据包丢失被假定在这两个传感器到控制器链路和控制器到致动器连杆,其中,所述总网络时延被变换成的不确定性被现有系统模型,数据包丢弃被描述为两个状态马尔可夫链。然后,具有网络引起的不确定性的封闭NCS被建模为具有模型不确定性的马尔可夫跳跃系统。一种基于观测器的故障检测滤波器是作为残差产生和性能指标,提出了应对的鲁棒性的问题,这是为了增强对网络引起的不确定性和干扰残差产生的稳健性,没有故障的显著损失灵敏度。衍生出渐近动力学的渐近平均方形稳定的足够条件,获得所需的RFDF,其以某些线性矩阵不等式构建。最后,数值示例说明了所提出的方法的有效性。

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