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  4. Tensor systems : multilinear modeling and applications
 
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Tensor systems : multilinear modeling and applications

Citation Link: https://doi.org/10.15480/882.2979
Publikationstyp
Conference Paper
Date Issued
2013
Sprache
English
Author(s)
Pangalos, Georg  
Eichler, Annika  
Lichtenberg, Gerwald  
Institut
Regelungstechnik E-14  
TORE-DOI
10.15480/882.2979
TORE-URI
http://hdl.handle.net/11420/5869
Start Page
275
End Page
285
Citation
SIMULTECH 2013 - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Application : Reykjavik, Iceland, 29 - 31 July, 2013 / ed. by Tuncer Ören ... - [S.l.] : SciTePress, 2013. - Seite 275-285
Contribution to Conference
3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH, Reykjavik, Iceland, 29 - 31 July, 2013  
Publisher DOI
10.5220/0004475602750285
Publisher
SciTePress
Tensor systems are a framework for modeling of multilinear hybrid systems with discrete and continuous valued signals. Two examples from building services engineering and multi-agent systems show applications of this framework. A tensor model of a heating system is derived and approximated by tensor decomposition methods first. Second, a tensor model of a multi-agent system with a structure already given in a decomposed form is reduced further by the same decomposition methods. The validity of these low rank approximations is shown for both examples.
Subjects
Heating systems
Hybrid systems
Multi-agent systems
Multilinear systems
Tensor decomposition
DDC Class
620: Ingenieurwissenschaften
Funding(s)
ModQS - Modellbasierte Qualitätssicherung des Gebäudebetriebs  
More Funding Information
Deutschland, Bundesministerium für Wirtschaft und Technologie
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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