Dictionary learning in Extended Dynamic Mode Decomposition using a reservoir computer

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

We aim at improving extended dynamic mode decomposition that allows to linearize nonlinear systems.
Indeed, the EDMD algorithm provides a finite-dimensional representation of the Koopman operator.
Finally, the reservoir computer is trained to produce an efficient dictionary
Original languageEnglish
Title of host publication38th Benelux Meeting on Systems and Control
Subtitle of host publicationBook of Abstracts
Pages42
Number of pages211
Publication statusPublished - 19 Mar 2019

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Glossaries
Nonlinear systems
Decomposition

Cite this

Gulina, M., & Mauroy, A. (2019). Dictionary learning in Extended Dynamic Mode Decomposition using a reservoir computer. In 38th Benelux Meeting on Systems and Control: Book of Abstracts (pp. 42)
Gulina, Marvyn ; Mauroy, Alexandre. / Dictionary learning in Extended Dynamic Mode Decomposition using a reservoir computer. 38th Benelux Meeting on Systems and Control: Book of Abstracts. 2019. pp. 42
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abstract = "We aim at improving extended dynamic mode decomposition that allows to linearize nonlinear systems.Indeed, the EDMD algorithm provides a finite-dimensional representation of the Koopman operator.Finally, the reservoir computer is trained to produce an efficient dictionary",
author = "Marvyn Gulina and Alexandre Mauroy",
year = "2019",
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language = "English",
isbn = "9789082825954",
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Gulina, M & Mauroy, A 2019, Dictionary learning in Extended Dynamic Mode Decomposition using a reservoir computer. in 38th Benelux Meeting on Systems and Control: Book of Abstracts. pp. 42.

Dictionary learning in Extended Dynamic Mode Decomposition using a reservoir computer. / Gulina, Marvyn; Mauroy, Alexandre (Supervisor).

38th Benelux Meeting on Systems and Control: Book of Abstracts. 2019. p. 42.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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N2 - We aim at improving extended dynamic mode decomposition that allows to linearize nonlinear systems.Indeed, the EDMD algorithm provides a finite-dimensional representation of the Koopman operator.Finally, the reservoir computer is trained to produce an efficient dictionary

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BT - 38th Benelux Meeting on Systems and Control

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Gulina M, Mauroy A. Dictionary learning in Extended Dynamic Mode Decomposition using a reservoir computer. In 38th Benelux Meeting on Systems and Control: Book of Abstracts. 2019. p. 42