<p>In this article, an event-triggered adaptive fuzzy inverse optimal control issue is investigated for the steer-by-wire vehicle (SBWV) systems. Firstly, fuzzy logic systems are adopted to model the unknown nonlinear dynamics and an auxiliary nonlinear system is established. Then, an event-triggered mechanism (ETM) is established to reduce the numbers of controller execution times. Subsequently, based on designed auxiliary nonlinear system and ETM, an event-triggered adaptive fuzzy inverse optimal control algorithm is proposed by employing the backstepping control technique. It is proved that the developed control method can ensure the stability of SBWV systems and the tracking error converges to the neighborhood of zero. Finally, the simulation results are provided to demonstrate the effectiveness of presented control approach.</p>