<p>This paper studies the problem of fuzzy adaptive output-feedback predefined-time event-triggered control (ETC) for active suspension systems (ASSs). ASSs include unmeasured states and unknown nonlinear dynamics. Fuzzy logic systems (FLSs) are employed to deal with the unknown nonlinear dynamics in the ASSs, and fuzzy state observers are established to estimate the unmeasured states. Meanwhile, an event-triggered mechanism (ETM) is designed to reduce the frequent updating times of actuator. Then, by applying the theory of predefined-time stability, an observer-based fuzzy adaptive predefined-time event-triggered control method is proposed. It is proved that the proposed control method not only can guarantee the stability of the controlled ASSs, but also ensure that the Zeno behavior can be avoided. Finally, the simulation results are provided to demonstrate the effectiveness of the proposed control method.</p>