DocumentCode
1025963
Title
A subspace algorithm for balanced state space system identification
Author
Moonen, Marc ; Ramos, José
Author_Institution
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
Volume
38
Issue
11
fYear
1993
fDate
11/1/1993 12:00:00 AM
Firstpage
1727
Lastpage
1729
Abstract
In an earlier paper by Moonen et at. (1989), an algorithm has been introduced for identifying multivariable linear systems directly from input-output data. This new algorithm falls in the class of so-called subspace methods and resembles impulse response based realization algorithms. In this paper, we extend this algorithm by incorporating a balancing step, such that the identified model is always in balanced coordinates. With this modification, one obtains a data driven counterpart for Kung´s realization algorithm
Keywords
identification; linear systems; multivariable control systems; state-space methods; transient response; Kung´s realization algorithm; balanced coordinates; balanced state space system; identification; impulse response based realization algorithms; input-output data; multivariable linear systems; subspace algorithm; Data mining; Deconvolution; Filtering; Linear systems; Quantization; Reduced order systems; Roundoff errors; Sensitivity analysis; State-space methods; System identification;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.262050
Filename
262050
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