Two-stage recursive least squares parameter estimation algorithm for output error models

This paper presents a two-stage recursive least squares algorithm for output error models. The basic idea is to combine the auxiliary model identification idea and the decomposition technique and to decompose a system into two subsystems, which contain one parameter vector each. Compared with the auxiliary model based recursive least squares algorithm, the proposed algorithm has less computational burden.