Robust rational function approximation algorithm for model generation

Abstract

The problem of computing rational function approximations to tabulated frequency data is of paramount importance in the modeling arena. In this paper we present a method for generating a state space model from tabular data in the frequency domain that solves some of the numerical difficulties associated with the traditional fitting techniques used in linear least squares approximations. An extension to the MIMO case is also derived.