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Stability analysis on networked control systems under double attacks with predictive control
Author(s) -
Yang Hongjiu,
Xu Hao,
Xia Yuanqing,
Zhang Jinhui
Publication year - 2019
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4840
Subject(s) - denial of service attack , networked control system , model predictive control , computer science , stability (learning theory) , control (management) , control system , control theory (sociology) , denial , engineering , artificial intelligence , the internet , machine learning , psychology , world wide web , psychoanalysis , electrical engineering
Summary In this paper, stability of a networked control system under denial‐of‐service and false data injection attacks is analyzed with a predictive control method. To model denial‐of‐service attacks on the forward channel of networked control system, game theory is introduced for obtaining balanced results by denial‐of‐service frequency and duration. Then, measurement outputs of the networked control system are maliciously modified in the feedback channel. Under this double attack strategy, the stability of networked control system with predictive control is analyzed using a switched system method. By comparing three types of attack models, advantages of the double attacks are discussed to illustrate the necessity of this research. A numerical simulation is given to demonstrate effectiveness of the proposed methods on a networked control system under double attacks.