Event-Triggered Integral Sliding Mode Anti-Disturbance Control for Nonlinear Systems Via T-S Disturbance Modeling

Abstract

Under the framework of event triggering, this paper discusses a novel integral sliding mode (ISM) anti-disturbance algorithm for a class of nonlinear systems with mismatched disturbances. For the sake of describing more irregular disturbances, T-S fuzzy disturbance models are imported by choosing different basis functions and the corresponding disturbance observer (DO) is then put forward to realize the estimation of unknown disturbances. By utilizing the trigger threshold condition with the estimation information, both the integral sliding surface (ISS) and the event-triggered ISM controller are designed for compensating mismatched disturbances. It is guaranteed that the state trajectories can reach the ISS within a pre-designed finite time. Moreover, not only the system stability, but also the favorable tracking performance and the boundedness of the minimum trigger interval are simultaneously be achieved. Finally, the simulation results of an A4D aircraft model further embody the effective of designed control algorithm.