Event-Triggered Fuzzy Adaptive Control for a Class of Uncertain Nonlinear Systems with Input Dead-Zone

This paper proposes an event-triggered fuzzy adaptive control for a class of uncertain nonlinear systems with input dead-zone. Considering that the approximation error is a time-varying function, improved Fuzzy Logic Systems(FLSs) are applied to address the uncertain parts of the considered systems. And a designed auxiliary system is introduced into the control design to compensate the effects of input dead-zone, which often occurs to actual systems. Moreover, a novel event-triggered strategy is established to further save system transmission resources. It contains a two-bits signal transmission mechanism. According to the theoretical analysis and simulation results, the boundness of all signals can be guaranteed and the validity of the proposed method can be verified.