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Fault detection for a class of nonlinear networked control systems with Markov sensors assignment and random transmission delays

机译:具有Markov传感器分配和随机传输时滞的一类非线性网络控制系统的故障检测。

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摘要

The paper investigates the fault detection problem for a class of nonlinear networked control systems with both communication constraints and random transmission delays. The access status of the sensors is governed by a stochastic event, which is modeled as a Markov chain taking matrix values in a certain set. The main task of this paper is to design a mode-dependent fault detection filter, such that for Markov sensors assignment, random network-induced delays and the unknown input signal, the error between the fault and the residual signal is minimized. And the resulting fault detection dynamics is formulated as an H_∞ filtering problem of a Markov jump system. The linear matrix inequality-based sufficient conditions for the existence of the fault detection filter are obtained. Finally, two examples are given to show the effectiveness of the developed method.
机译:研究了一类具有通信约束和随机传输时延的非线性网络控制系统的故障检测问题。传感器的访问状态受一个随机事件控制,该事件被建模为一个马尔可夫链,该矩阵采用某个集合中的矩阵值。本文的主要任务是设计一个与模式有关的故障检测滤波器,从而对于Markov传感器分配,随机网络引起的延迟和未知输入信号,最小化故障和残差信号之间的误差。并将故障检测动力学公式化为马尔可夫跳跃系统的H_∞滤波问题。获得了基于线性矩阵不等式的故障检测滤波器存在的充分条件。最后,通过两个例子说明了该方法的有效性。

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  • 来源
    《Journal of the Franklin Institute》 |2014年第10期|4653-4671|共19页
  • 作者单位

    School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China,School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai, Shandong 264005, China;

    School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China;

    School of Public Administration, Shandong Institute of Business and Technology, Yantai, Shandong 264005, China;

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