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Frequency-Weighted Model Reduction with Applications to Structured Models |
Abstract |
In this paper, we generalize a recently pr … In this paper, we generalize a recently proposed
method for model reduction of linear systems to the frequencyweighted
case. The method uses convex optimization and can be
used both with sample data and exact models. We also derive
simple a priori bounds on the frequency-weighted error. We
combine the method with a rank-minimization heuristic, to
approximate multi-inputÂmulti-output systems. We also present
two applications  environment compensation and simpli�cation
of interconnected models  where we argue the proposed
methods are useful. we argue the proposed
methods are useful. +
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Authors | Henrik Sandberg and Richard M. Murray + |
ID | 2006r + |
Source | To appear, 2007 American Control Conference (ACC) + |
Tag | sm07-acc + |
Title | Frequency-Weighted Model Reduction with Applications to Structured Models + |
Type | Conference Paper + |
Categories | Papers |
Modification date This property is a special property in this wiki.
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15 May 2016 06:17:32 + |
URL This property is a special property in this wiki.
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http://www.cds.caltech.edu/~murray/preprints/sm07-acc.pdf + |
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Frequency-Weighted Model Reduction with Applications to Structured Models + | Title |
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