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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-input–multi-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.  +
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
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15 May 2016 06:17:32  +
URL
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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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