Attack-Resilient Control Against FDI Attacks in Cyber-Physical Systems
Bo Chen, Yawen Tan, Zhe Sun, Li Yu
Abstract
Dear editor, This letter is concerned with the control of cyber-physical systems (CPSs) in the presence of malicious false data injection (FDI) attacks on actuators. The FDI attacks on actuators may result in faults of actuators or even the instability of CPSs. To tackle this problem, an unknown input observer (UIO) is proposed to estimate the system states and attack signals. For the aim of suppressing the impact of FDI attacks, a discrete-time sliding mode control (DSMC) algorithm is correspondingly put forward, where its reaching law is constructed based on the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> -th order difference of the estimation of attack signals. Finally, two simulation instances are presented to show the effectiveness of the proposed method.