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Fault detection filter design for networked systems with cyber attacks.

Authors :
Dai, Shifang
Zha, Lijuan
Liu, Jinliang
Xie, Xiangpeng
Tian, Engang
Source :
Applied Mathematics & Computation. Jan2022, Vol. 412, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• A networked system model is constructed with the consideration of the network delay and deception attacks. • Sufficient conditions are provided to guarantee the H ∞ stability of FDF by using Lyapunov stability theory and LMI techniques. • The coefficient matrices of the FDF are also presented in explicit expressions calculated by a set of LMIs. • Two simulation examples are presented to show the effectiveness and practicability of the proposed method. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00963003
Volume :
412
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
152631008
Full Text :
https://doi.org/10.1016/j.amc.2021.126593