Linearization of magnetorheological behaviour using a neural network

A magnetorheological (MR) damper is a recently invented electromechanical semi-active control device that holds promise for applications to ameliorate structural vibration. However, nonlinear characteristics of MR dampers are delaying field installation. This paper provides a linearization scheme for MR damper behaviour using a neural network that is applicable for an online control environment.