Adaptive fuzzy resilient control for switched systems with state constraints under deception attacks

This paper studies an adaptive fuzzy resilient control strategy for switched systems with deception attacks and state constraints. With the deception attacks on both the sensors and actuators, the feedback data is unreliable and the direction of control is unknown, which make it difficult to design the adaptive resilient control for switched systems. By combining Nussbaum-based adaptive control, fuzzy control and a two-step backstepping approach, a novel adaptive resilient controller and mode-dependent switching law are designed to against deception attacks. Considering the buffeting problem triggered by the Nussbaum function, the states are constrained in this paper and the barrier Lyapunov function is utilized. Based on the designed adaptive fuzzy resilient control method, both the asymptotic stability and the state constraints of the switched systems under deception attacks can be guaranteed. The feasibility of the proposed resilient control strategy is demonstrated through an application of the strategy to an attacked single-link robot arm (SLRA) model.