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.
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Acknowledgments
This work was partly supported by the project ModQS of the Federal Ministry of Economics and Technology, Germany.
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Pangalos, G., Eichler, A., Lichtenberg, G. (2015). Hybrid Multilinear Modeling and Applications. In: Obaidat, M., Koziel, S., Kacprzyk, J., Leifsson, L., Ören, T. (eds) Simulation and Modeling Methodologies, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-11457-6_5
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DOI: https://doi.org/10.1007/978-3-319-11457-6_5
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