Fault detection filter design for networked systems with cyber attacks

Shifang Dai, Lijuan Zha, Jinliang Liu, Xiangpeng Xie and Engang Tian

Applied Mathematics and Computation, 2022, vol. 412, issue C

Abstract: This paper focuses on the fault detection for networked systems with deception attacks. Firstly, a fault detection filter (FDF) is presented as a residual generator to detect the random occurring fault signal timely in networked systems with the consideration of network delay and deception attacks. Then, by using the Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are presented to guarantee the stability with an H∞ performance index γ of our proposed fault detection system. Furthermore, the corresponding coefficient matrices of the FDF are also presented with the explicit expressions. Finally, two simulation examples demonstrate the effectiveness and practicability of the designed FDF.

Keywords: Fault detection filter (FDF); Deception attacks; Residual evaluation; Network delay (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:412:y:2022:i:c:s0096300321006779

DOI: 10.1016/j.amc.2021.126593

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