Pangalos, GeorgGeorgPangalosEichler, AnnikaAnnikaEichlerLichtenberg, GerwaldGerwaldLichtenberg2020-04-242020-04-242013-073rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013)http://hdl.handle.net/11420/5869Tensor 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.enhttps://creativecommons.org/licenses/by-nc-nd/4.0/Heating systemsHybrid systemsMulti-agent systemsMultilinear systemsTensor decompositionIngenieurwissenschaftenConference Paper10.15480/882.297910.5220/000447560275028510.15480/882.2979Conference Paper