Asymptotic Variance Expressions for Closed-Loop Identification
2001 (English)In: Automatica, ISSN 0005-1098, Vol. 37, no 5, 781-786 p.Article in journal (Refereed) Published
Asymptotic variance expressions are analyzed for models that are identified on the basis of closed-loop data. The considered methods comprise the classical `direct' method, as well as the more recently developed indirect methods, employing coprime factorized models, dual Youla/Kucera parametrizations and the two-stage approach. The variance expressions are compared with the open-loop situation, and evaluated in terms of their relevance for subsequent model-based control design.
Place, publisher, year, edition, pages
2001. Vol. 37, no 5, 781-786 p.
Closed loop identification
IdentifiersURN: urn:nbn:se:liu:diva-47401DOI: 10.1016/S0005-1098(01)00015-2OAI: oai:DiVA.org:liu-47401DiVA: diva2:268297