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Title
Data-driven modeling for unsteady aerodynamics and aeroelasticity
Authors
Keywords
Data-driven method, Unsteady aerodynamics, System identification, Mode decomposition, Data fusion, Machine learning
Journal
PROGRESS IN AEROSPACE SCIENCES
Volume 125, Issue -, Pages 100725
Publisher
Elsevier BV
Online
2021-06-20
DOI
10.1016/j.paerosci.2021.100725
References
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