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Event-triggered non-fragile H_∞ fault detection for discrete time-delayed nonlinear systems with channel fadings

机译:具有通道衰落的离散时滞非线性系统的事件触发非脆弱H_∞故障检测

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In this paper, the event-triggered non-fragile H-infinity fault detection filter is designed for a class of discrete-time nonlinear systems subject to time-varying delays and channel fadings. The Lth Rice fading model is utilized to reflect the actual received measurement signals, and its channel coefficients own arbitrary probability density functions on interval [0,1]. The event-based filter is constructed to reduce unnecessary data transmissions in the communication channel, which only updates the measurement signal to the filter when the prespecified "event" is triggered. Multiplicative gain variations are utilized to describe the phenomenon of parameter variations in actual implementation of the filter. Based on Lyapunov stability theory, stochastic analysis technology along with linear matrix inequalities (LMIs) skills, sufficient conditions for the existence of the non-fragile fault detection filter are obtained which make the filtering error system stochastically stable and satisfy the H-infinity constraint. The gains of the filter can be calculated out by solving the feasible solution to a certain LMI. A simulation example is given to show the effectiveness of the proposed method. (c) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文针对一类时变时滞和信道衰落的离散时间非线性系统,设计了事件触发的非脆弱H-∞故障检测滤波器。 Lth Rice衰落模型用于反映实际接收到的测量信号,其信道系数在区间[0,1]上具有任意概率密度函数。基于事件的滤波器被构造为减少通信信道中不必要的数据传输,该通信信道仅在触发预定的“事件”时才更新测量信号到滤波器。利用乘法增益变化来描述滤波器实际实施中参数变化的现象。基于Lyapunov稳定性理论,随机分析技术以及线性矩阵不等式(LMI)技巧,为非脆弱故障检测滤波器的存在提供了充分的条件,从而使滤波误差系统随机稳定并满足H-∞约束。可以通过对某个LMI求解可行的解决方案来计算出滤波器的增益。仿真实例表明了该方法的有效性。 (c)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2018年第1期|436-457|共22页
  • 作者单位

    Northeast Petr Univ, Coll Elect & Informat Engn, Daqing 163318, Peoples R China;

    Northeast Petr Univ, Coll Elect & Informat Engn, Daqing 163318, Peoples R China;

    Northeast Petr Univ, Heilongjiang Prov Key Lab Networking & Intelligen, Daqing 163318, Peoples R China;

    Northeast Petr Univ, Coll Elect & Informat Engn, Daqing 163318, Peoples R China;

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  • 入库时间 2022-08-18 02:57:35

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