Hybrid multilinear modeling and applications

First published in
Advances in intelligent systems and computing  
Number in series
319
Start Page
71
End Page
85
Citation
Simulation and modeling methodologies, technologies and applications$dInternational conference, SIMULTECH 2013 Reykjavík, Iceland, July 29-31, 2013 revised selected papers.- (Advances in Intelligent Systems and Computing 319). - Seite 71-85 (2015)
Contribution to Conference
3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013)  
Publisher DOI
10.1007/978-3-319-11457-6_5
Scopus ID
2-s2.0-84910654710
Publisher
Springer
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.
Subjects
Heating systems
Hybrid systems
Multi-agent systems
Multilinear systems
Tensor decomposition
DDC Class
600: Technik
620: Ingenieurwissenschaften