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

作     者：Yue-Ming Wang Yuan-Xin Li 

作者机构：Department of ScienceLiaoning University of TechnologyJinzhouPeople’s Republic of China 

出 版 物：《Journal of Control and Decision》 (控制与决策学报（英文）)

年 卷 期：2024年第11卷第1期

页      面：50-59页

核心收录：

学科分类：0808[工学-电气工程] 07[理学] 0701[理学-数学] 0811[工学-控制科学与工程] 

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). 

主　　题：Neural networks backstepping technology false data injection(FDI)attacks nonlinear cyber-physical systems controls 

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.