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Distributed system identification with ADMM
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.
2014 (engelsk)Inngår i: Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, 2014, s. 290-295Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper presents identification of both network connected systems as well as distributed systems governed by PDEs in the framework of distributed optimization via the Alternating Direction Method of Multipliers. This approach opens first the possibility to identify distributed models in a global manner using all available data sequences and second the possibility for a distributed implementation. The latter will make the application to large scale complex systems possible. In addition to outlining a new large scale identification method, illustrations are shown for identifying both network connected systems and discretized PDEs.

sted, utgiver, år, opplag, sider
Los Angeles, 2014. s. 290-295
Serie
53rd IEEE Conference on Decision and Control, ISSN 0191-2216
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-129292DOI: 10.1109/CDC.2014.7039396ISBN: 978-1-4799-7745-1 (tryckt)ISBN: 978-1-4673-6088-3 (tryckt)OAI: oai:DiVA.org:liu-129292DiVA, id: diva2:937576
Konferanse
53rd IEEE Conference on Decision and Control 15-17 Dec. 2014, Los Angeles, CA
Tilgjengelig fra: 2016-06-15 Laget: 2016-06-15 Sist oppdatert: 2018-01-10

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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Annet språk
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  • html
  • text
  • asciidoc
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