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Model reduction of interconnected linear systems
Abstract The problem of model reduction of linear s …
The problem of model reduction of linear systems with certain interconnection structure is considered in this paper. To preserve the interconnection structure between subsystems in the reduction, special care needs to be taken. This problem is important and timely because of the recent focus on complex networked systems in control engineering. Two different model-reduction methods are introduced and compared in the paper. Both methods are extensions to the well-known balanced truncation method. Compared to earlier work in the area these methods use a more general linear fractional transformation framework, and utilize linear matrix inequalities. Furthermore, new approximation error bounds that reduce to classical bounds in special cases are derived. So-called structured Hankel singular values
o-called structured Hankel singular values  +
Authors Henrik Sandberg, Richard M Murray  +
ID 2008e  +
Source Optimal Control Applications and Methods, 2008 (to appear)  +
Tag sm08-ocam  +
Title Model reduction of interconnected linear systems +
Type Preprint  +
Categories Papers
Modification date
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15 May 2016 06:16:58  +
URL
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http://www.cds.caltech.edu/~murray/preprints/sm08-ocam_s.pdf  +
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