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一类非线性网络物理系统的基于动态内存事件的异步攻击检测滤波

Dynamic-Memory Event-Based Asynchronous Attack Detection Filtering for a Class Of Nonlinear Cyber-Physical Systems.

作者信息

Xing Mingqi, Wang Yanqian, Pang Qingle, Zhuang Guangming

出版信息

IEEE Trans Cybern. 2023 Jan;53(1):653-667. doi: 10.1109/TCYB.2021.3127231. Epub 2022 Dec 23.

DOI:10.1109/TCYB.2021.3127231
PMID:35604986
Abstract

In this article, we endeavor to address the problem of asynchronous attack detection for a class of nonlinear cyber-physical system (CPS) under the dynamic-memory event-triggered transmission protocol (DMETP). Malicious attacks under consideration are composed of the parameter-dependent false data-injection (FDI) attacks and the multichannel deception attacks with the time delay. Meanwhile, we attempt to employ the T-S fuzzy singular Semi-Markov jump linear parameter-varying (SS-MJLPV) systems to describe the stochastic jump characteristics and nonlinear time-varying characteristics of CPSs. Then, the DMETP is proposed for the first time, which can not only relieve the bandwidth pressure but also obtain the key released packets at the crest or trough of the curve. By augmenting the states of the original system and the asynchronous attacks detection filter, the issue of attacks detection is converted into an auxiliary dissipative filtering for the CPS. Moreover, sufficient conditions for the existence of the attacks detection filter are obtained. Finally, the effectiveness of the proposed scheme is verified via the networked truck-trailer reversing system.

摘要

在本文中,我们致力于解决一类非线性网络物理系统(CPS)在动态内存事件触发传输协议(DMETP)下的异步攻击检测问题。所考虑的恶意攻击由参数依赖的虚假数据注入(FDI)攻击和具有时延的多通道欺骗攻击组成。同时,我们尝试采用T-S模糊奇异半马尔可夫跳跃线性参数变化(SS-MJLPV)系统来描述CPS的随机跳跃特性和非线性时变特性。然后,首次提出了DMETP,它不仅可以缓解带宽压力,还能在曲线的波峰或波谷处获取关键的已发布数据包。通过扩充原系统和异步攻击检测滤波器的状态,将攻击检测问题转化为CPS的辅助耗散滤波问题。此外,还得到了攻击检测滤波器存在的充分条件。最后,通过网络化的卡车-拖车倒车系统验证了所提方案的有效性。

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