Parameter Identification Based on the Steiglitz-McBride Method from Noisy Input-Output Data

Abstract

This paper proposes a simple method for parameter identification of discrete-time models in the presence of white input-output measurement noises. Using delayed filtered outputs as instrumental variables, an instrumental variable (IV) approach combined with the Steiglitz-McBride method is proposed to obtain consistent estimates.