控制理论(社会学)
可达性
执行机构
模式(计算机接口)
计算机科学
滑模控制
信息物理系统
有界函数
工程类
控制工程
控制(管理)
数学
人工智能
算法
非线性系统
数学分析
物理
操作系统
量子力学
作者
Hongyan Yang,Honggui Han,Shen Yin,Huayun Han,Pu Wang
出处
期刊:Automatica
[Elsevier]
日期:2022-08-01
卷期号:142: 110345-110345
被引量:15
标识
DOI:10.1016/j.automatica.2022.110345
摘要
The rapid development of Cyber–physical systems (CPSs) poses nontrivial challenges to the issue of cyber-security. In this work, an improved sliding mode control strategy against time-varying state-dependent actuator and sensor false data injection (FDI) attacks is proposed to design an adaptive resilient control scheme for Markovian jump CPS (MJCPS). Firstly, considering that the feedback state information is compromised by adversaries, a compromised state variable-dependent switching function is designed. Secondly, based on the compromised state variables, an attack compensator with projection-based adaptation laws are constructed. In this way, the attack related parameters can be adjusted online and the FDI attacks can be compensated adaptively. Then, the stochastically bounded stable of the overall closed-loop MJCPS and the reachability analysis for the constructed sliding surface are derived. Finally, a practical example about an F-404 aircraft engine system is employed to illustrate the efficacy of the proposed technique.
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