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Fault detection for a class of non-linear networked systems with Markovian transmission delays

机译:一类具有马尔可夫传输时滞的非线性网络系统的故障检测

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摘要

In this paper, we investigate the fault detection problem for a class of discrete-time non-linear networked systems with Markovian network-induced delays. It is assumed that networks exist in both communication channels from the sensor to the controller and from the controller to the actuator. The transmission delays of sensor-to-controller and controller-to-actuator are modelled as two homogeneous Markov chains, which takes values in finite state spaces, respectively. Then, we focus on the design of a full-order fault detection filter (FDF) such that the system performance index is still achieved in spite of the fault. By augmenting the states of the original system and the FDF, the fault detection problem is transformed into an auxiliary H-infinity filtering problem of a certain Markovian jump system. A sufficient condition for the existence of the desired filter is established in terms of a series of linear matrix inequalities (LMIs). The explicit parameters of the desired filter are determined if these LMIs are feasible. Two numerical examples are provided to show the effectiveness and applicability of the proposed method.
机译:本文研究了一类具有马尔可夫网络引起的时滞的离散时间非线性网络系统的故障检测问题。假定在从传感器到控制器以及从控制器到执行器的两个通信通道中都存在网络。传感器到控制器和控制器到执行器的传输延迟被建模为两个齐次马尔可夫链,分别在有限状态空间中取值。然后,我们专注于全阶故障检测滤波器(FDF)的设计,以便尽管出现故障仍能达到系统性能指标。通过增加原始系统和FDF的状态,将故障检测问题转换为某个Markovian跳跃系统的辅助H无限滤波问题。根据一系列线性矩阵不等式(LMI),为存在所需滤波器提供了充分条件。如果这些LMI可行,则确定所需滤波器的显式参数。提供了两个数值示例,说明了该方法的有效性和适用性。

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