ON THE USE OF MINIMAL PARAMETRIZATIONS IN MULTIVARIABLE ARMAX IDENTIFICATION

摘要

This paper derives minimally parametrized ARMAX models for linear multi-variable systems and describes the implementation of a prediction error method (PEM) for their estimation. It is shown that, differently from the commonly accepted opinion, the determination of a suitable order and structure for the ARMAX model of a real process does not involve critical choices.