Tensor Systems - Multilinear Modeling and Applications

G. Pangalos, A. Eichler, G. Lichtenberg

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: SIMULTECH, ISBN 978-989-8565-69-3, pages 275-285. DOI: 10.5220/0004475602750285


in Bibtex Style

@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 - Volume 1: SIMULTECH,},
year={2013},
pages={275-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004475602750285},
isbn={978-989-8565-69-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Tensor Systems - Multilinear Modeling and Applications
SN - 978-989-8565-69-3
AU - Pangalos G.
AU - Eichler A.
AU - Lichtenberg G.
PY - 2013
SP - 275
EP - 285
DO - 10.5220/0004475602750285