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MIMO system identification: State-space and subspace approximations versus transfer function and instrumental variables
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology.
2000 (English)In: IEEE TRANSACTIONS ON SIGNAL PROCESSING, ISSN 1053-587X, Vol. 48, no 11, 3087-3099 p.Article in journal (Refereed) Published
Abstract [en]

The identification of multi-input multi-output (MIMO) linear systems has recently received a new impetus with the introduction of the state-space (SS) approach based on subspace approximations. This approach has immediately gained popularity, owing to the

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2000. Vol. 48, no 11, 3087-3099 p.
Keyword [en]
correlation; covariance analysis; identification; multivariable systems; parameter estimation; state space methods; statistics; time domain analysis; transfer function matrices
Identifiers
URN: urn:nbn:se:uu:diva-36557OAI: oai:DiVA.org:uu-36557DiVA: diva2:64456
Note
Addresses: Stoica P, Uppsala Univ, Dept Syst & Control, Uppsala, Sweden. Uppsala Univ, Dept Syst & Control, Uppsala, Sweden. Royal Inst Technol, Dept Signal Sensors & Syst, Stockholm, Sweden.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-14

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