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• W3106603368 abstract "Attacks on the cyber-physical systems (CPSs) are increasing recently, which makes the research of CPSs’ security issues more urgent. χ2-detector, the most common attack detector, has a fatal defect, that it requires all the covariance matrices of observation residual be reversible. In this paper, we propose a novel method to construct an attack detection variable obeying χ2 distribution without special requirements, and develop an event-triggered mechanism to reduce the adverse impact of the detection error. Observer-based state feedback controller is applied and a sufficient condition of stability on the alarm probability of the detector and the parameter in the event-triggered mechanism are further given. Finally, a simulation example is given to verify the effectiveness of the proposed attack detector." @default.
• W3106603368 created "2020-12-07" @default.
• W3106603368 creator A5013862843 @default.
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• W3106603368 date "2020-10-09" @default.
• W3106603368 modified "2023-09-27" @default.
• W3106603368 title "An Event-Triggered χ2-Detector for Cyber-Physical Systems under False Data Injection Attacks" @default.
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• W3106603368 doi "https://doi.org/10.1109/icca51439.2020.9264415" @default.
• W3106603368 hasPublicationYear "2020" @default.
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