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

作　　者：Yue-Ming Wang Yuan-Xin Li 

机构地区：[1]Department of Science,Liaoning University of Technology,Jinzhou,People’s Republic of China

出　　处：《Journal of Control and Decision》2024年第1期50-59,共10页控制与决策学报（英文）

基　　金：Funds of National Science of China(Grant no.61973146,62173172,61833001);the Doctoral Research Initiation of Foundation of Liaoning Province(No.20180540047);the Distinguished Young Scientific Research Talents Plan in Liaoning Province(No.XLYC1907077,JQL201915402).

摘　　要：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.

关 键 词：Neural networks backstepping technology false data injection(FDI)attacks nonlinear cyber-physical systems controls 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]