Hierarchical least squares algorithms for single-input multiple-output systems based on the auxiliary model

This paper presents an auxiliary model based hierarchical least squares algorithm to estimate the parameters of single-input multi-output system modelling by combining the auxiliary model identification idea and the hierarchical identification principle. A numerical example is given to show the performance of the proposed algorithm.