This paper presents a numerical assessment on the performance of two structural control strategies based on magnetorheological (MR) dampers.At first, a control strategy based on artificial neural networks was employed on a simple structure to control vibration.This controller combines a predictive model function to control forces and an inverse model of voltage calculation to manage the MR dampers.Secondly, a control strategy based on fuzzy logic was also used.Therefore, the controller governs the actions from a set of rules that represent the heuristics of the system to be controlled.Results achieved from the numerical simulations indicate that the performance of these two control strategies is promising and satisfactory, based on response reductions of up to 83% relative to the performance of the system without control.