Data-driven approximation of the Koopman generator: Model reduction, system 
identification, and control

Klus, Stefan; Nüske, Feliks; Peitz, Sebastian; Niemann, Jan-Hendrik; Clementi, Cecilia; Schütte, Christof

doi:10.1016/j.physd.2020.132416

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Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Klus, S., Nüske, F., Peitz, S., Niemann, J.-H., Clementi, C., & Schütte, C. (2020). Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena, 406: 132416. doi:10.1016/j.physd.2020.132416.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-30DC-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-F21E-2

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Klus, Stefan¹, Author
Nüske, Feliks¹, Author
Peitz, Sebastian¹, Author
Niemann, Jan-Hendrik¹, Author
Clementi, Cecilia¹, Author
Schütte, Christof¹, Author

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1External Organizations, ou_persistent22

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Dates: Date issued: 2020

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.physd.2020.132416

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Title: Physica D: Nonlinear Phenomena

Source Genre: Journal

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Pages: - Volume / Issue: 406 Sequence Number: 132416 Start / End Page: - Identifier: ISSN: 01672789