Secure adaptive fuzzy tracking control for a class of nonlinear systems under actuator and sensor faults and denial-of-service attacks based on event-triggered mechanism

Abstract

The main focus of this article is to investigate the secure adaptive fuzzy tracking control (SAFTC) scheme for a class of uncertain nonlinear systems, with special presence of actuator and sensor faults and denial-of-service (DoS) attacks. The proposed method integrates switching gain observers, fuzzy logic systems (FLS), and event-triggered control and introduces a new algorithm and dynamic gain to optimize tracking performance and resilience against disturbances, multiple faults, and DoS attacks. In addition, it is demonstrated that the proposed control scheme ensures the closed-loop system remains bounded and the error signal asymptotically converges to a neighborhood around the origin. Finally, results for the proposed method applied to a class of unknown nonlinear systems are presented to back theoretical results and their effectiveness.