An indirect method for transfer function estimation from closed loop data

An indirect method is introduced that is able to estimate consistently the transfer function of a linear plant on the basis of data obtained from closed loop experiments, even in the situation where the model of the noise disturbance on the data is not accurate. Moreover, the method allows approximate identification of the open loop plant with an explicit and tunable expression for the bias distribution of the resulting model.