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March 26, 2022 article Open access Aachen paper

Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning

Computers & Chemical Engineering, vol. 161, pp. 107781

DOI: 10.1016/j.compchemeng.2022.107781 Full text (OA) OpenAlex

Authors 3

  1. Jan C. Schulze Aachen Process Systems Engineering (AVT.SVT)

    RWTH Aachen University

    Affiliation as printed

    Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen 52074, Germany

    Process Systems Engineering (AVT.SVT), RWTH Aachen University, 52074 Aachen, Germany

  2. Danimir T. Doncevic

    Forschungszentrum Jülich

    Affiliation as printed

    Institute of Energy and Climate Research: Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

    Institute of Energy and Climate Research: Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany

  3. Alexander Mitsos corresponding Aachen Process Systems Engineering (AVT.SVT)

    RWTH Aachen University · Forschungszentrum Jülich · Jülich Aachen Research Alliance

    Affiliation as printed

    Institute of Energy and Climate Research: Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

    JARA-ENERGY, Aachen 52056, Germany

    Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen 52074, Germany

    Institute of Energy and Climate Research: Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany

    JARA-ENERGY, 52056 Aachen, Germany

    Process Systems Engineering (AVT.SVT), RWTH Aachen University, 52074 Aachen, Germany

Cited by 29 stored of 29

Cited by patents worldwide 1 (Lens.org)

References 132