A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems

Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy dynamic event-triggered control problem is successfully solved. A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process based on the backstepping technique. For handling the asymmetric input saturation, an auxiliary system with the same order as the considered system is constructed. Analysis problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic systems. It is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability analysis. Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.

Automated summary

The adaptive fuzzy dynamic event-triggered control problem for a class of nonlinear systems with input saturation is successfully solved. A dynamic event-triggered mechanism is adopted to reduce the communication burden of the system and integrated into the controller design process based on the backstepping technique. To handle asymmetric input saturation, an auxiliary system of the same order is constructed and the approximation theory of fuzzy logic systems is used to efficiently tackle analysis problems caused by unknown continuous functions. The boundedness of all signals in the resulting closed-loop system is proven through Lyapunov stability analysis. Numerical and practical simulations are provided to demonstrate the effectiveness of the theoretical results.