Frequency-weighted model reduction via Quasi-Kalman decomposition

Authors
Diab, M Sreeram, V Liu, WQ
Citation
M. Diab et al., Frequency-weighted model reduction via Quasi-Kalman decomposition, IEEE AUTO C, 44(1), 1999, pp. 139-144
Citations number
11
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN journal
00189286 → ACNP
Volume
44
Issue
1
Year of publication
1999
Pages
139 - 144
Database
ISI
SICI code
0018-9286(199901)44:1<139:FMRVQD>2.0.ZU;2-J
Abstract
A frequency-weighted model reduction method based on quasi-Kalman decomposi tion is proposed for discrete systems. The method is essentially an extensi on of the technique in [6] to the frequency weighted case and can handle bo th single-sided as well as double-sided weights. Two illustrative examples show the effectiveness of the method and results are compared with the meth od developed in [2].