Data-driven inference of low order representations of observable dynamics for an airfoil model-Reference-Cited by-同舟云学术

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Data-driven inference of low order representations of observable dynamics for an airfoil model

Published:2024-01 Issue: Volume:457 Page:133941
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Dewanjee Adharaa Neelim^ORCID,Sahyoun Samir,Djouadi Seddik,Wilson Dan

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference60 articles.

1. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems;Kutz,2016

2. Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control;Brunton,2019

3. Modal analysis of fluid flows: an overview;Taira;AIAA J.,2017

4. Model reduction for flow analysis and control;Rowley;Annu. Rev. Fluid Mech.,2017

5. Modal analysis of fluid flows: Applications and outlook;Taira;AIAA J.,2020

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