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遭受欺骗攻击的随机系统的同步事件触发故障检测与估计

Simultaneous Event-Triggered Fault Detection and Estimation for Stochastic Systems Subject to Deception Attacks.

作者信息

Li Yunji, Wu QingE, Peng Li

机构信息

Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China.

School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

出版信息

Sensors (Basel). 2018 Jan 23;18(2):321. doi: 10.3390/s18020321.

DOI:10.3390/s18020321
PMID:29360791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5856134/
Abstract

In this paper, a synthesized design of fault-detection filter and fault estimator is considered for a class of discrete-time stochastic systems in the framework of event-triggered transmission scheme subject to unknown disturbances and deception attacks. A random variable obeying the Bernoulli distribution is employed to characterize the phenomena of the randomly occurring deception attacks. To achieve a fault-detection residual is only sensitive to faults while robust to disturbances, a coordinate transformation approach is exploited. This approach can transform the considered system into two subsystems and the unknown disturbances are removed from one of the subsystems. The gain of fault-detection filter is derived by minimizing an upper bound of filter error covariance. Meanwhile, system faults can be reconstructed by the remote fault estimator. An recursive approach is developed to obtain fault estimator gains as well as guarantee the fault estimator performance. Furthermore, the corresponding event-triggered sensor data transmission scheme is also presented for improving working-life of the wireless sensor node when measurement information are aperiodically transmitted. Finally, a scaled version of an industrial system consisting of local PC, remote estimator and wireless sensor node is used to experimentally evaluate the proposed theoretical results. In particular, a novel fault-alarming strategy is proposed so that the real-time capacity of fault-detection is guaranteed when the event condition is triggered.

摘要

本文针对一类离散时间随机系统,在事件触发传输方案框架下,考虑了故障检测滤波器和故障估计器的综合设计,该系统受到未知干扰和欺骗攻击。采用服从伯努利分布的随机变量来表征随机发生的欺骗攻击现象。为使故障检测残差仅对故障敏感而对干扰具有鲁棒性,采用了坐标变换方法。该方法可将所考虑的系统转换为两个子系统,并从其中一个子系统中消除未知干扰。通过最小化滤波器误差协方差的上界来推导故障检测滤波器的增益。同时,系统故障可由远程故障估计器重构。开发了一种递归方法来获得故障估计器增益并保证故障估计器性能。此外,还提出了相应的事件触发传感器数据传输方案,以在测量信息非周期性传输时提高无线传感器节点的使用寿命。最后,使用一个由本地PC、远程估计器和无线传感器节点组成的工业系统的缩放版本,对所提出的理论结果进行实验评估。特别地,提出了一种新颖的故障报警策略,以便在触发事件条件时保证故障检测的实时能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/b896d0c63c31/sensors-18-00321-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/c2e8063f7adc/sensors-18-00321-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/b896d0c63c31/sensors-18-00321-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/23b3ef4780d7/sensors-18-00321-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/cb7eb9821c74/sensors-18-00321-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/1be96079a4c3/sensors-18-00321-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/380c9759efd0/sensors-18-00321-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/37852364b075/sensors-18-00321-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/3f9729a25e24/sensors-18-00321-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/2e4515016a5c/sensors-18-00321-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/b2a30c0e0313/sensors-18-00321-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/c2e8063f7adc/sensors-18-00321-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7c/5856134/b896d0c63c31/sensors-18-00321-g014.jpg

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