Adaptive Fuzzy Event-Triggered Control for Nonlinear Systems with Asymmetric Hysteresis

Abstract

For a class of asymmetric hysteresis nonlinear systems, an adaptive fuzzy output feedback event-triggered control is investigated. By invoking the approximation ability of fuzzy logical systems, the uncertainties of the controlled plant are solved, and the immeasurable states are estimated by designing state observer. In the process of recursion design, the pseudo inverse compensator is used to eliminate the negative effect of the asymmetric hysteresis, and the event-triggered control strategy is employed to reduce the communication burden between the nonlinear system and the event-triggered controller. The designed parameter adaptive laws and event-triggered controller can make that all signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB).