Attack-Resilient Control Against FDI Attacks in Cyber-Physical Systems

被引：1

作者：

Bo Chen ^{[1
,2
,3
]}

Yawen Tan ^{[2
,3
]}

Zhe Sun ^{[2
,3
]}

Li Yu ^{[1
,2
,3
]}

机构：

[1] IEEE

[2] Department of Automation, Zhejiang University of Technology

[3] Institute of Cyberspace Security, Zhejiang University of Technology

来源：

IEEE/CAA Journal of Automatica Sinica | 2022年 / 9卷 / 06期

关键词：

D O I：

暂无

中图分类号：

TP273 [自动控制、自动控制系统]; TP393.08 [];

学科分类号：

080201 ; 0835 ; 0839 ; 1402 ;

摘要：

Dear editor,This letter is concerned with the control of cyber-physical systems(CPSs) in the presence of malicious false data injection (FDI) attacks on actuators.The FDI attacks on actuators may result in faults of actuators or even the instability of CPSs.To tackle this problem,an unknown input observer (UIO) is proposed to estimate the system states and attack signals.For the aim of suppressing the impact of FDI attacks,a discrete-time sliding mode control (DSMC) algorithm is correspondingly put forward,where its reaching law is constructed based on the n-th order difference of the estimation of attack signals.Finally,two simulation instances are presented to show the effectiveness of the proposed method.

引用

页码：1099 / 1102

页数：4

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