An improved reduction method based networked control against false data injection attacks and stochastic input delay
作者：
Highlights：
• 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.
• 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).
• A simulation example verifies the feasibility and effectiveness of the proposed approach.
摘要
•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.•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).•A simulation example verifies the feasibility and effectiveness of the proposed approach.
论文关键词：Networked control systems,False data injection attacks,Input delay,Reduction method
论文评审过程：Received 19 February 2020, Revised 22 April 2020, Accepted 31 May 2020, Available online 20 June 2020, Version of Record 20 June 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125421
