%0 Journal Article %T Desarrollo de dos modelos inversos de un amortiguador magneto-reol¨®gico para el control de vibraciones en estructuras civiles %A Medina %A Jos¨¦ %A Marichal %A Manuel %A Morales %A Sim¨®n %J Bolet¨ªn T¨¦cnico %D 2008 %I Scientific Electronic Library Online %X this paper presents the development of two models that emulate the inverse dynamic of a magnetorheological damper, these models estimate the required voltage to produce the force determinated by some linear control strategy. the first inverse model has been implemented using a multilayer perceptron neural network trained under the levenberg-marquardt£¿s algorithm, and the second model is based on a fuzzy identification strategy, it consists in a first order takagi-sugeno model whose rules are created by the fuzzy c-means clustering method. finally, and as validation, it evaluates the behavior of these models to reduce the seismic response of a three degrees of freedom building using a linear quadratic regulator. in the conclusions is discussed how successful results incorporate these models in a linear control loop %K structural control %K magnetorheological damper %K neural identification %K fuzzy identification. %U http://www.scielo.org.ve/scielo.php?script=sci_abstract&pid=S0376-723X2008000200001&lng=en&nrm=iso&tlng=en