Learning Bilinear Models of Actuated Koopman Generators from
Partially-Observed Trajectories

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Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories

20 September 2022

Sebastian Peitz

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Papers citing "Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories"

14 / 14 papers shown

Title
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems Matthew J. Colbrook 81 34 0 06 Sep 2022
Residual Dynamic Mode Decomposition: Robust and verified Koopmanism Matthew J. Colbrook Lorna J. Ayton Máté Szőke 65 62 0 19 May 2022
Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems Matthew J. Colbrook Alex Townsend 88 70 0 29 Nov 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 102 417 0 24 Feb 2021
Advantages of Bilinear Koopman Realizations for the Modeling and Control of Systems with Unknown Dynamics Daniel Bruder Xun Fu Ram Vasudevan 49 81 0 20 Oct 2020
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control Stefan Klus Feliks Nuske Sebastian Peitz Jan-Hendrik Niemann C. Clementi Christof Schütte 72 228 0 23 Sep 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 67 138 0 09 Jun 2019
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 66 165 0 18 May 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,252 0 27 Dec 2017
Linearly-Recurrent Autoencoder Networks for Learning Dynamics Samuel E. Otto C. Rowley AI4CE 46 326 0 04 Dec 2017
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 155 360 0 30 Oct 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 49 373 0 12 Oct 2017
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems Enoch Yeung Soumya Kundu Nathan Oken Hodas AI4CE 72 385 0 22 Aug 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 285 4,793 0 04 Jan 2016