An improved reduction method based networked control against false data injection attacks and stochastic input delay

Yingchun Wang, Yu Zheng, Xiangpeng Xie and Jun Yang

Applied Mathematics and Computation, 2020, vol. 385, issue C

Abstract: This paper concerns on an improved resilient control for the networked control systems (NCSs) against false data injection (FDI) attacks. First, a time-varying input delay is divided into two different time intervals, which is described by a Bernoulli stochastic process, and the FDI attacks are also established in a stochastic process. Second, an improved reduction transformation method is developed to get an equivalent model. Then, a new Lyapunov functional stability approach is proposed such that an asymptotically stable criterion in the mean-square sense of the closed-loop systems is obtained in forms of linear matrix inequalities (LMIs). In the end, a simulation example verifies the feasibility and effectiveness of the proposed approach.

Keywords: Networked control systems; False data injection attacks; Input delay; Reduction method (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:385:y:2020:i:c:s0096300320303829

DOI: 10.1016/j.amc.2020.125421

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