Data-driven approximation of the Koopman generator: model reduction, system identification, and control
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Publication:2115518
DOI10.1016/j.physd.2020.132416zbMath1485.93097arXiv1909.10638OpenAlexW3006550916MaRDI QIDQ2115518
Christof Schütte, Sebastian Peitz, Feliks Nüske, Cecilia Clementi, Jan-Hendrik Niemann, Stefan Klus
Publication date: 17 March 2022
Published in: Physica D (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.10638
controlsystem identificationinfinitesimal generatorcoarse grainingdata-driven methodsKoopman operator
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Uses Software
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