Open this publication in new window or tab >>2022 (English)In: 2022 European Control Conference (ECC), Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 315-320Conference paper, Published paper (Refereed)
Abstract [en]
When recorded signals are corrupted by noise on both input and output sides, standard identification methods give biased parameter estimates, due to the presence of input noise. This paper discusses in what situations such a bias is large and, consequently, when errors-in-variables identification methods should preferably be used.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022
Keywords
system identification, errors-in-variables, bias, parameter estimation, output error model
National Category
Control Engineering
Identifiers
urn:nbn:se:uu:diva-487624 (URN)10.23919/ECC55457.2022.9838030 (DOI)000857432300042 ()978-3-907144-07-7 (ISBN)978-1-6654-9733-6 (ISBN)
Conference
European Control Conference (ECC), July 12-15, 2022, London, England
2022-11-042022-11-042023-05-02Bibliographically approved