Adaptive control for nonlinear cyber-physical systems under false data injection attacks through sensor networks

This paper considers the adaptive control problem for a class of nonlinear cyber-physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time-varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed-loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method.