Frequency Weighted Model Reduction via Quasi-Kalman Decomposition

M. Diab, Victor Sreeram, W.Q. Liu

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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 in [6] 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 in [2].
Original languageEnglish
Pages (from-to)39-144
JournalIEEE Transactions on Automatic Control
Volume44
Issue number1
DOIs
Publication statusPublished - 1999

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