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      Nonlinear Model Order Reduction: A system-theoretic viewpoint

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            Abstract

            In this contribution, we consider nonlinear model order reduction from a system-theoretic viewpoint. To this end, we transfer the time domain interpretation of linear moment matching to nonlinear systems. For bilinear systems we hereby provide the time domain perception of Volterra series interpolation. For nonlinear systems we propose some simplifications to achieve a ready-to-implement, simulation-free model reduction algorithm.

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            Author and article information

            Journal
            ScienceOpen Posters
            ScienceOpen
            27 April 2018
            Affiliations
            [1 ]Chair of Automatic Control, Technical University of Munich
            [* ]Correspondence: maria.cruz@ 123456tum.de
            Article
            10.14293/P2199-8442.1.SOP-MATH.LLRJJY.v1
            203910b9-c7df-4abd-bbb9-a2bcfc982c61
            Copyright © 2018

            This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

            History

            Applied mathematics,Applications,Statistics,Data analysis,Mathematics,Mathematical modeling & Computation
            Krylov subspace methods,systems theory,nonlinear dynamical systems,Volterra series representation,model order reduction

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