Adaptive Finite-Time Control for CPSs Under False Data Injection and Actuator Faults

This article presents a novel adaptive control scheme for nonlinear Cyber-Physical Systems (CPSs) with uncertainty under False Data Injection Attacks (FDIAs) and actuator faults. By simultaneously considering the time-varying gain before the state variable in the strict-feedback system state equations and dual-channel injection attacks, the CPS is modeled. Based on which, the exponentially-decay parameters are proposed and the Nussbaum function is introduced to construct a novel finite-time adaptive fuzzy controller. In the end, the feasibility of the proposed scheme is verified through numerical simulation.