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A structured model reduction method for large scale networks.

Abstract:

Mathematical models of networked systems often take the form of a set of complex large-scale differential equations. Model reduction is a commonly used technique of producing a simplified, yet accurate, description of these systems. Most available model reduction techniques require state transformations, which can cause the structural information of the system to be lost. In this paper, a systematic methodology is proposed for reducing linear network system models without employing state tran...

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Publication status:
Published

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Publisher copy:
10.1109/CDC.2011.6160773

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IEEE Publisher's website
Pages:
7782-7787
Host title:
CDC-ECE
Publication date:
2011-01-01
DOI:
ISSN:
0191-2216
Source identifiers:
318843
ISBN:
9781612848006
Pubs id:
pubs:318843
UUID:
uuid:33990d48-6091-4788-be26-4ea9bc99e86f
Local pid:
pubs:318843
Deposit date:
2012-12-19

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