Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks

Summary This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transform...

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Bibliographic Details
Published inInternational journal of robust and nonlinear control Vol. 30; no. 1; pp. 65 - 79
Main Authors Ren, Xiu‐Xiu, Yang, Guang‐Hong
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 10.01.2020
Subjects
Adaptive control
Control stability
Coordinate transformations
Cyber-physical systems
false data injection attacks
globally bounded
Nonlinear control
nonlinear cyber‐physical systems
Nonlinear systems
State feedback
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Summary:Summary This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time‐varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed‐loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method.
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.4749