Adaptive Fuzzy Resilient Decentralized Control for Nonlinear Large-Scale CPSs Under DoS Attacks

In this article, by using the output feedback information, an adaptive fuzzy decentralized controller for a class of nonlinear large-scale cyber–physical systems (CPSs) is developed. The considered system encompass unmeasurable states and are susceptible to denial-of-service (DoS) attacks. The approximations of unknown nonlinear functions are achieved through the utilization of fuzzy logic systems, and a switching-type fuzzy state estimator is proposed to obtain the estimations of unavailable system states. Through the application of adaptive backstepping design mechanism and the dynamic surface control method, an adaptive fuzzy output feedback decentralized controller is ultimately proposed. By utilizing a combination of Lyapunov stability theory and average dwell time, it is demonstrated that the proposed adaptive fuzzy decentralized resilient controller ensures that the tracking errors converge to a small bounded neighborhood under the circumstance of DoS attacks, and all signals of CPS are bounded. The efficiency of the proposed approach is validated through simulation studies of a nonlinear inverted pendulum large-scale system.