Adaptive Fuzzy Tracking Control for Pure-feedback Systems with Event-triggered Strategy

This paper considers an event-triggered tracking control problem of uncertain pure-feedback systems with adaptive fuzzy approximation technology. Unlike existing research, this paper first directly introduces affine variables and an auxiliary control signal to solve the non-affine problem of pure feedback systems. Next, fuzzy logic systems (FLSs) are trained to model some unknown functions. Then, a new fuzzy adaptive event-triggered controller is proposed for uncertain pure-feedback systems by integrating an improved event-triggered technique with dynamic surface control (DSC) framework. Stability analysis shows that the proposed control method guarantees all closed-loop system signals are semi-globally uniformly ultimately bounded. The main innovations of this paper are that the strict assumptions for pure-feedback systems are circumvented, and a new event-triggered mechanism that considers higher tracking accuracy and lower communication load is developed. Finally, a comparison simulation and a practical application are provided to show the feasibility and effectiveness of the presented controller.