DocumentCode
1518099
Title
Balanced canonical forms for system identification
Author
Bauer, Dietmar ; Deistler, Manfred
Author_Institution
Inst. fur Econ. Oper. Res. & Syst. Theor., Tech. Univ. Wien, Austria
Volume
44
Issue
6
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
1118
Lastpage
1131
Abstract
Parameterizations of linear state-space systems by balanced canonical forms are considered. The structure, in particular the topological properties, of these parameterizations are investigated. Based on these results an algorithm for identification obtained by optimizing a likelihood-type criterion function is proposed and analyzed. In the algorithm both the estimation of real-valued parameters and of integer parameters (defining dynamic specification) is incorporated. The analysis of the algorithm emphasizes consistency results
Keywords
MIMO systems; controllability; linear systems; matrix algebra; observability; parameter estimation; stability; state-space methods; topology; balanced canonical forms; consistency; dynamic specification; likelihood-type criterion function; linear state-space systems; system identification; topological properties; Algorithm design and analysis; Covariance matrix; Linear systems; MIMO; Parameter estimation; Stability; State-space methods; Steady-state; System identification; Transfer functions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.769367
Filename
769367
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