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    Item type:Publication, Access status: without files ,
    Hybrid multilinear modeling and applications
    (Springer, 2015)
    Pangalos, Georg
    ;
    Eichler, Annika
    ;
    Lichtenberg, Gerwald
    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.
    Publicationtype: Conference Paper
      43
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    Item type:Publication, Access status: with files ,
    Tensor systems : multilinear modeling and applications
    (SciTePress, 2013-07)
    Pangalos, Georg
    ;
    Eichler, Annika
    ;
    Lichtenberg, Gerwald
    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.
    Publicationtype: Conference Paper
      388  442
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    Item type:Publication, Access status: without files ,
    Approach to Boolean controller design by algebraic relaxation for heating systems
    (Elsevier, 2012)
    Pangalos, Georg
    ;
    Lichtenberg, Gerwald
    The paper proposes a relaxation for a special class of Boolean controller design problems which are relevant in optimization of heating systems for buildings. The controller design problem can be formulated as a discrete optimization problem which is hard to solve because of its exponential complexity. It is shown how Zhegalkin polynomials can be used as algebraic normal forms of the Boolean controller functions to relax the optimization problem to a continuous one. This has been successfully applied to a real heating system with 1.8MW thermal power and the improvement is discussed. © 2012 IFAC.
    Publicationtype: Conference Paper
      17