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Authors: G. Pangalos 1 ; A. Eichler 1 and G. Lichtenberg 2

Affiliations: 1 Hamburg University of Technology, Germany ; 2 Hamburg University of Applied Sciences, Germany

Keyword(s): Multilinear Systems, Hybrid Systems, Tensor Decomposition, Heating Systems, Multi-Agent Systems.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Application Domains ; Complex Systems Modeling and Simulation ; Energy and Power Systems ; Formal Methods ; Non-Linear Systems ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures

Abstract: 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.

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Paper citation in several formats:
Pangalos, G.; Eichler, A. and Lichtenberg, G. (2013). Tensor Systems - Multilinear Modeling and Applications. In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-8565-69-3; ISSN 2184-2841, SciTePress, pages 275-285. DOI: 10.5220/0004475602750285

@conference{simultech13,
author={G. Pangalos. and A. Eichler. and G. Lichtenberg.},
title={Tensor Systems - Multilinear Modeling and Applications},
booktitle={Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2013},
pages={275-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004475602750285},
isbn={978-989-8565-69-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Tensor Systems - Multilinear Modeling and Applications
SN - 978-989-8565-69-3
IS - 2184-2841
AU - Pangalos, G.
AU - Eichler, A.
AU - Lichtenberg, G.
PY - 2013
SP - 275
EP - 285
DO - 10.5220/0004475602750285
PB - SciTePress

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