An investigation into the use of neural networks for the semi-active control of a magnetorheologically damped vehicle suspension

Abstract Neural networks are highly useful for the modelling and control of magnetorheological (MR) dampers. A damper controller based on a recurrent neural network (RNN) of the inverse dynamics of an MR damper potentially offers significant advantages over conventional controllers in terms of relia...

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