Low-Order Modeling and Machine Learning in Fluid Dynamics: Flow Control
ORAL · U25 · ID: 3583236
Presentations
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Improving turbulence control through explainable deep learning
ORAL
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Publication: https://arxiv.org/pdf/2504.02354
Presenters
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Miguel Beneitez
University of Manchester
Authors
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Miguel Beneitez
University of Manchester
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Andrés Cremades Botella
KTH Royal Institute of Technology
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Luca Guastoni
Technical University Munich
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Ricardo Vinuesa
University of Michigan, KTH Royal Institute of Technology
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Machine learning-assisted flow control based on an Iterative Linear System Identification
ORAL
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Publication: Planned to submit to arXiv
Presenters
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Kazuma Funai
Keio Univ
Authors
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Kazuma Funai
Keio Univ
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Koji Fukagata
Keio Univ
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Data-driven closure for Koopman control of non-linear systems
ORAL
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Presenters
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Priyam Gupta
Imperial College London
Authors
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Priyam Gupta
Imperial College London
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Denis Sipp
DAAA, ONERA, Institut Polytechnique de Paris
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Taraneh Sayadi
Conservatoire national des arts et métiers
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Peter J Schmid
King Abdullah University of Science and Technology
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Georgios Rigas
Imperial College London
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Optimal Pulse Control of Unsteady Separation Over a Cambered Airfoil: Right Place, Right Time
ORAL
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Publication: Heide, A. Leonid & Hemati, Maziar S. (2025) "Optimization framework for analyzing nonlinear stability due to sparse finite-amplitude perturbations." Phys. Rev. Fluids 10.<br><br>Liao, Shih-Chi, Heide, A. Leonid, Hemati, Maziar S. & Seiler, Peter J. (2024) "A convex optimization approach to compute trapping regions for lossless quadratic systems." Int J Robust Nonlinear Control, 35<br><br>A. Leonid Heide, Shih-Chi Liao, Sergio Castiblanco Ballesteros, Gustaaf B. Jacobs, Peter Seiler and Maziar S. Hemati, (planned paper) "Data-Driven Nonlinear Aerodynamic Models with Optimal Long-Term Boundedness Guarantees: a Convex Optimization Approach"
Presenters
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A. Leonid Heide
University of Minnesota
Authors
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A. Leonid Heide
University of Minnesota
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Sergio A Castiblanco Ballesteros
San Diego State University
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Gustaaf B Jacobs
San Diego State University
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Maziar Sam Hemati
University of Minnesota
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Reinforcement-Learning-Driven Active Flow Control for Airfoil Pitching Moment Trim
ORAL
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Presenters
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Prasanna Thoguluva Rajendran
University of Arizona
Authors
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Prasanna Thoguluva Rajendran
University of Arizona
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Laurent Pagnier
University of Arizona
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Farzad Mashayek
University of Arizona
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Impulsive control of low-frequency oscillation of subsonic flow around an airfoil
ORAL
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Presenters
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Nobutaka Taniguchi
Tohoku University
Authors
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Nobutaka Taniguchi
Tohoku University
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Yuya Ohmichi
Japan Aerospace Exploration Agency
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Transformer-based reinforcement learning for aerodynamic lift regulation in gust sequences
ORAL
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Publication: Zhecheng Liu and Jeff D. Eldredge (2025). "Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows". arXiv, https://arxiv.org/abs/2506.10153.
Presenters
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Zhecheng Liu
University of California, Los Angeles
Authors
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Zhecheng Liu
University of California, Los Angeles
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Jeff D Eldredge
University of California, Los Angeles
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Feedback control of vortex shedding using data driven modelling with minimal sensing
ORAL
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Publication: This work is a sub-set of a larger study which is currently in preparation for submission to the Journal of Fluid Mechanics with the intention to submit in the next 2 months.
Presenters
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Jack Proudfoot
University of Oxford
Authors
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Jack Proudfoot
University of Oxford
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Chris James Nicholls
University of Oxford
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Brian M Tang
University of Oxford
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Marko Bacic
University of Oxford
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Deep Reinforcement Learning and Spatiotemporal Transformers for Intelligent Drug Delivery & Flow Control in Thrombosis Prevention
ORAL
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Presenters
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Mohammad Sarabian
W. L. Gore & Associates
Authors
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Mohammad Sarabian
W. L. Gore & Associates
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Sudeep Sastry
W. L. Gore & Associates, Inc
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Non-intrusive model reduction for open-loop control of shock dynamics in scramjet isolators
ORAL
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Presenters
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Cole J Errico
University of Illinois Urbana-Champaign
Authors
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Cole J Errico
University of Illinois Urbana-Champaign
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Alberto Padovan
University of Illinois at Urbana-Champaign
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Daniel Joseph Bodony
University of Illinois at Urbana-Champaign, University of Illinois Urbana-Champaign
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Control of viscoelastic turbulence via wall blowing & suction optimised by reinforcement learning
ORAL
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Publication: None yet; manuscript in preparation.
Presenters
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Udit Sharma
KTH Royal Institute of Technology
Authors
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Udit Sharma
KTH Royal Institute of Technology
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Miguel Beneitez
Department of Mechanical and Aerospace Engineering, The University of Manchester, UK
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Lisa Wittberg
KTH Royal Institute of Technology
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Ricardo Vinuesa
University of Michigan, KTH Royal Institute of Technology
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Outi Tammisola
FLOW and SeRC (Swedish e-Science Research Centre), Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
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Seyedshahabaddin Mirjalili
KTH Royal Institute of Technology
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How Large Language Models Can Enable Data-Driven Flow Control?
ORAL
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Presenters
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aoming liang
WestLake Univeristy
Authors
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aoming liang
WestLake Univeristy
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Cheng Chi
WestLake Univeristy
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dashuai chen
WestLake Univeristy
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Dixia Fan
WestLake Univeristy
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