Adaptive security control of time-varying constraints nonlinear cyber-physical systems with false data injection attacks

In this article, an adaptive security control scheme is presented for cyber-physical systems (CPSs) suffering from false data injection (FDI) attacks and time-varying state constraints. Firstly, an adaptive bound estimation mechanism is introduced in the backstepping control design to mitigate the e...

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Bibliographic Details
Published inJournal of control and decision Vol. 11; no. 1; pp. 50 - 59
Main Authors Wang, Yue-Ming, Li, Yuan-Xin
Format Journal Article
LanguageEnglish
Published Taylor & Francis 02.01.2024
Subjects
backstepping technology
false data injection (FDI) attacks
Neural networks
nonlinear cyber-physical systems controls
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ISSN2330-7706
2330-7714
DOI10.1080/23307706.2022.2136274

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Summary:In this article, an adaptive security control scheme is presented for cyber-physical systems (CPSs) suffering from false data injection (FDI) attacks and time-varying state constraints. Firstly, an adaptive bound estimation mechanism is introduced in the backstepping control design to mitigate the effect of FDI attacks. Secondly, to solve the unknown sign time-varying state-feedback gains aroused by the FDI attacks, a type of Nussbaum function is employed in the adaptive security control. Then, by constructing a barrier Lyapunov function, it can be ensured that all signals of controlled system are bounded and the time-varying state constraints are not transgressed. Finally, the provided simulation examples demonstrate the effectiveness of the proposed controller.
ISSN:2330-7706
2330-7714
DOI:10.1080/23307706.2022.2136274