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Spatio-temporal proper orthogonal decomposition of turbulent channel flow
Srikanth Derebail Muralidhar
,
Bã©rengã¨re Podvin
,
Lionel Mathelin
,
Yann Fraigneau
Journal articles
hal-02170063v1
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Observable Dictionary Learning for High-Dimensional Statistical Inference
Lionel Mathelin
,
Kévin Kasper
,
Hisham Abou-Kandil
Journal articles
hal-01726821v1
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Stochastic data assimilation of the random shallow water model loads with uncertain experimental measurements
L. Mathelin
,
Christophe Desceliers
,
M.Yussuf Hussaini
Computational Mechanics, 2011, 47 (6), pp.603-616
Journal articles
hal-00750190v1
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Global optimization with Gaussian process and application to drag reduction with vortex generators
Thomas Rouillon
,
Fabien Harambat
,
Christian Tenaud
,
Lionel Mathelin
World Congress on Global Optimization in Engineering & Science, Jan 2011, Chania, Greece
Conference papers
hal-01629397v1
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A statistical learning strategy for closed-loop control of fluid flows
Florimond Guéniat
,
Lionel Mathelin
,
M.Yussuf Hussaini
2016
Preprints, Working Papers, ...
hal-01271248v1
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Control of chaotic systems by deep reinforcement learning
Michele Alessandro Bucci
,
Onofrio Semeraro
,
Alexandre Allauzen
,
Guillaume Wisniewski
,
Laurent Cordier
et al.
Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences, In press, 475 (2231), pp.1-20. ⟨10.1098/rspa.2019.0351⟩
Journal articles
hal-02406677v1
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Shallow neural networks for fluid flow reconstruction with limited sensors
N. Benjamin Erichson
,
Lionel Mathelin
,
Zhewei Yao
,
Steven Brunton
,
Michael Mahoney
et al.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020, 476 (2238), pp.20200097. ⟨10.1098/rspa.2020.0097⟩
Journal articles
hal-03059296v1
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Unsupervised identification of motifs in turbulent channel flow using Latent Dirichlet Allocation
Mohamed Frihat
,
Némo Malhomme
,
Bérengère Podvin
,
Lionel Mathelin
,
Yann Fraigneau
et al.
Euromech colloquium on Machine learning methods for turbulent separated flows, Jun 2021, Paris, France
Conference papers
hal-03451341v1
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Vortex-induced vibrations and waves under shear flow with a wake oscillator model
L. Mathelin
,
Emmanuel de Langre
Journal articles
istex
hal-01024949v1
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CD-ROM: Complementary Deep-Reduced Order Model
Emmanuel Menier
,
Michele Alessandro Bucci
,
Mouadh Yagoubi
,
Lionel Mathelin
,
Marc Schoenauer
et al.
2022
Preprints, Working Papers, ...
hal-03846122v1
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Continuous Methods : Hamiltonian Domain Translation
Emmanuel Menier
,
Michele Alessandro Bucci
,
Mouadh Yagoubi
,
Lionel Mathelin
,
Marc Schoenauer
et al.
2022
Preprints, Working Papers, ...
hal-03716629v1
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Randomized Dynamic Mode Decomposition
N. Benjamin Erichson
,
Lionel Mathelin
,
J. Nathan Kutz
,
Steven L. Brunton
Journal articles
hal-02404577v1
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A Machine learning approach for constrained sensor placement
Kévin Kasper
,
Lionel Mathelin
,
Hisham Abou-Kandil
American Control Conference (ACC 2015), Jul 2015, Chicago, United States
Conference papers
hal-01726903v1
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A parsimonious strategy for field estimation from wall-mounted sensors
Lionel Mathelin
,
Kévin Kasper
,
Hisham Abou-Kandil
SIAM Conference on Computation Science & Engineering, Mar 2015, Salt Lake City, United States
Conference papers
hal-01726891v1
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Nonlinear optimal control using deep reinforcement learning
Michele Alessandro Bucci
,
Onofrio Semeraro
,
Lionel Mathelin
,
Laurent Cordier
,
Alexandre Allauzen
et al.
IUTAM Symposium on Laminar-Turbulent Transition, Sep 2019, London, United Kingdom
Conference papers
hal-02411768v1
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Control-oriented model learning with a recurrent neural network
Michele Alessandro Bucci
,
Onofrio Semeraro
,
Alexandre Allauzen
,
Laurent Cordier
,
Guillaume Wisniewski
et al.
71st Annual APS/DFD Meeting, Nov 2018, Atlanta, United States
Conference papers
hal-02411907v1
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Control by Deep Reinforcement Learning of a separated flow
Thibaut Guégan
,
Onofrio Semeraro
,
Michele A. Bucci
,
Laurent Cordier
,
Lionel Mathelin
et al.
73rd Annual Meeting of the APS Division of Fluid Dynamics, Nov 2020, Chicago, United States
Conference papers
hal-03088845v1
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A continuous reinforcement learning strategy for closed-loop control in fluid dynamics
C. Pivot
,
Laurent Cordier
,
Lionel Mathelin
,
F. Guã©niat
,
Bernd R. Noack
et al.
Applied Aerodynamics Conference, Jun 2018, Denver, United States
Conference papers
hal-01856254v1
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Control of a chaotic dynamical system with a Deep Reinforcement Learning approach
Michele Alessandro Bucci
,
Onofrio Semeraro
,
Alexandre Allauzen
,
Laurent Cordier
,
Guillaume Wisniewski
et al.
90th GAMM Annual Meeting, Feb 2019, Vienna, Austria
Conference papers
hal-02411514v1
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Control of chaotic systems by Deep Reinforcement Learning
Michele Alessandro Bucci
,
Onofrio Semeraro
,
Alexandre Allauzen
,
Guillaume Wisniewski
,
Laurent Cordier
et al.
2019
Preprints, Working Papers, ...
hal-02411475v1
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A Particle Method for Stochastic Convection Diffusion Equations
O. Le Maitre
,
S. Huberson
,
L. Mathelin
Eccomas 2008, Venice, 30 june-4 july 2008., 2008, Venise, Italy
Conference papers
hal-00406120v1
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Apprentissage de graphe pour la reconstruction de l'environnement vibratoire
Stéphane Février
,
Stéphane Nachar
,
Lionel Mathelin
,
Frédéric Giordano
,
Bérengère Podvin
et al.
15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France
Conference papers
hal-03717557v1
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Flow reconstruction using manifold learning and structure-preserving metrics
Lionel Mathelin
,
Alex Gorodetsky
,
Bérengère Podvin
SIAM Conference on Computational Science and Engineering (CSE21), Mar 2021, Virtual conference, France
Conference papers
hal-03451326v1
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Continuous Methods : Adaptively intrusive reduced order model closure
Emmanuel Menier
,
Michele Alessandro Bucci
,
Mouadh Yagoubi
,
Lionel Mathelin
,
Thibault Dairay
et al.
2022
Preprints, Working Papers, ...
hal-03879332v1
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Apprentissage d’un modèle dynamique chaotique par un LSTM
Michele Alessandro Bucci
,
Alexandre Allauzen
,
Laurent Cordier
,
Lionel Mathelin
,
Onofrio Semeraro
et al.
Conférence sur l’Apprentissage automatique (CAp), Jul 2019, Toulouse, France
Conference papers
hal-02412444v1
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Modélisation par termes source de générateurs de vortex pour le contrôle d'écoulement : validations expérimentales et optimisations
Thomas Rouillon
,
Fabien Harambat
,
Christian Tenaud
,
Lionel Mathelin
,
A. Queuille
et al.
Congrès Français de Mécanique, Jan 2011, Besançon, France
Conference papers
hal-01629399v1
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Global optimization of vortex generator parameters for drag reduction of ground vehicles
Thomas Rouillon
,
Fabien Harambat
,
Lionel Mathelin
,
Christian Tenaud
CFD & OPTIMIZATION, An ECCOMAS Thematic Conference, Jan 2011, Antalaya, Turkey
Conference papers
hal-01629396v1
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Closed-loop optimal control for shear flows using reinforcement learning
Onofrio Semeraro
,
Michele Alessandro Bucci
,
Lionel Mathelin
73rd Annual APS/DFD Meeting, Nov 2020, Chicago, United States
Conference papers
hal-03101416v1
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When deep learning meets ergodic theory
Michele Alessandro Bucci
,
Onofrio Semeraro
,
Sergio Chibbaro
,
Alexandre Allauzen
,
Lionel Mathelin
et al.
73rd Annual APS/DFD Meeting, Nov 2020, Chicago / Virtual, United States
Conference papers
hal-03101431v1
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Coherent structure identification in turbulent channel flow using latent Dirichlet allocation
Mohamed Frihat
,
Bérengère Podvin
,
Lionel Mathelin
,
Yann Fraigneau
,
François Yvon
et al.
Journal articles
hal-03258870v1
|
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