An identification method for Errors-in-Variables systems using incomplete data

In this paper we develop a novel identification algorithm for Errors-in-Variables systems (represented in transfer function form) using incomplete data. We propose a Maximum Likelihood formulation in the frequency domain that considers a restricted frequency range from the available measurements. We compare the proposed technique with the traditional frequency domain system identification technique applied to Errors-in-Variables systems.