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STUDY OF A BIAS-FREE LEAST-SQUARES PARAMETER ESTIMATOR
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
1995 (English)In: IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, ISSN 1350-2379, Vol. 142, no 1, 1-6 p.Article in journal (Other scientific) Published
Abstract [en]

The paper focuses on a novel bias-free least Squares (BFLS) parameter estimation approach which has recently received attention in the system identification and control literature. First, the BFLS parameter estimator is derived in a more general setting t

Place, publisher, year, edition, pages
1995. Vol. 142, no 1, 1-6 p.
Keyword [en]
BIAS-FREE LEAST SQUARES PARAMETER ESTIMATION; WEIGHTED INSTRUMENTAL VARIABLE; LINEAR-SYSTEMS; IDENTIFICATION
Identifiers
URN: urn:nbn:se:uu:diva-27300OAI: oai:DiVA.org:uu-27300DiVA: diva2:55195
Note
Addresses: STOICA P, UPPSALA UNIV, SYST & CONTROL GRP, POB 27, S-75103 UPPSALA, SWEDEN. UPPSALA UNIV, SYST & CONTROL GRP, S-75103 UPPSALA, SWEDEN. VILNIUS STATE UNIV, INST MATH & INFORMAT, VILNIUS 2600, LITHUANIA.Available from: 2005-05-04 Created: 2005-05-04 Last updated: 2011-01-16

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STOICA, PSöderström, T

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