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Structured model reduction for dynamical networked systems.

Abstract:

Mathematical models of networked systems usually take the form of large-scale, nonlinear differential equations. Model reduction is a commonly used technique for understanding and analyzing systems of this size, by producing simplified yet accurate descriptions for them. Most available reduction methods work well for linear system descriptions or small-scale nonlinear system descriptions but they usually involve a state transformation to 'balance' the system before truncation. However, linear...

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Publication status:
Published

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Publisher copy:
10.1109/CDC.2010.5718017

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Publisher:
IEEE Publisher's website
Pages:
2670-2675
Publication date:
2010-01-01
DOI:
ISSN:
0191-2216
URN:
uuid:332754e3-a695-479f-b879-46e9dbc48247
Source identifiers:
206113
Local pid:
pubs:206113
ISBN:
9781424477456

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