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Adaptive security control of time-varying constraints nonlinear cyber-physical systems with false data injection attacks
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作者 Yue-Ming Wang Yuan-Xin Li 《Journal of Control and Decision》 EI 2024年第1期50-59,共10页
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 ... 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 statefeedback 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. 展开更多
关键词 Neural networks backstepping technology false data injection(FDI)attacks nonlinear cyber-physical systems controls
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