DocumentCode
1462147
Title
Frequency-weighted model reduction via quasi-Kalman decomposition
Author
Diab, M. ; Sreeram, V. ; Liu, W.Q.
Author_Institution
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume
44
Issue
1
fYear
1999
Firstpage
139
Lastpage
144
Abstract
A frequency-weighted model reduction method based on quasi-Kalman decomposition is proposed for discrete systems. The method is essentially an extension of the technique presented by Lu and Lee (1985) to the frequency weighted case and can handle both single-sided as well as double-sided weights. Two illustrative examples show the effectiveness of the method and results are compared with the method developed by Enns (1984).
Keywords
Kalman filters; MIMO systems; controllability; discrete time systems; linear systems; matrix algebra; observability; reduced order systems; stability; MIMO systems; SISO systems; controllability; discrete systems; frequency-weighting; linear systems; model reduction; observability; quasi-Kalman decomposition; stability; Automatic control; Control systems; Digital control; Frequency estimation; Optimal control; Reduced order systems; Rivers; State estimation; System analysis and design; Uncertain systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.739103
Filename
739103
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