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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
2013-07
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
3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013)
Contribution to Conference
3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013)  
Publisher DOI
10.5220/0004475602750285
Publisher
SciTePress
ISBN of container
978-989-8565-69-3
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
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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