Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis.

In this paper, the fuzzy event-triggered adaptive control problems for a class of nonlinear systems with input hysteresis are investigated. Fuzzy logic systems (FLSs) are applied to address the uncertain part of the systems. Combined with adaptive control, a class of smooth functions are introduced to deal with the approximation error of FLSs, which could improve the system control accuracy. Further, different from the existing event-triggered strategy, a two-bit signal transmission mechanism is proposed to economize system communication resources. With the proposed mechanism, each time when the control signal is updated, only two-bit of digital numbers need to be sent. The convergence and asymptotic tracking performance of the closed-loop system could be guaranteed. Finally, simulation demonstrates the obtained results. [ABSTRACT FROM AUTHOR]