Nonlinear Dynamics: Model Reduction II
ORAL · Q01
Presentations
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Data-driven reduced modeling of turbulent convection using DMD-enhanced Fluctuation-Dissipation Theorem
ORAL
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Presenters
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Pedram Hassanzadeh
Rice University, Rice Univ
Authors
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Pedram Hassanzadeh
Rice University, Rice Univ
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Mohammad Amin Khodkar
Rice University
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Why is the cylinder flow a terrible test case for deep learning?
ORAL
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Presenters
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Jean-Christophe Loiseau
Laboratoire DynFluid -- Arts et Métiers ParisTech
Authors
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Jean-Christophe Loiseau
Laboratoire DynFluid -- Arts et Métiers ParisTech
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Deep learning of dynamics and signal-noise decomposition with time-stepping constraints
ORAL
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Presenters
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Samuel Rudy
University of Washington Department of Applied Mathematics
Authors
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Samuel Rudy
University of Washington Department of Applied Mathematics
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J. Nathan Kutz
University of Washington, University of Washington Department of Applied Mathematics
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Steven L Brunton
University of Washington, University of Washington Department of Mechanical Engineering, Univ of Washington
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Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
ORAL
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Presenters
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Eurika Kaiser
University of Washington
Authors
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Eurika Kaiser
University of Washington
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J. Nathan Kutz
University of Washington, University of Washington Department of Applied Mathematics
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Steven L Brunton
University of Washington, University of Washington Department of Mechanical Engineering, Univ of Washington
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Recovering Quasi-2D Navier-Stokes Model Parameters via Weak Formulation
ORAL
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Presenters
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Patrick Reinbold
Georgia Inst of Tech
Authors
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Patrick Reinbold
Georgia Inst of Tech
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Roman O Grigoriev
Georgia Inst of Tech, Georgia Institute of Technology
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Koopman mode expansions between two invariant sets
ORAL
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Presenters
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Rich Kerswell
Univ of Cambridge, University of Cambridge
Authors
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Jacob Page
Univ of Cambridge, Cambridge University
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Rich Kerswell
Univ of Cambridge, University of Cambridge
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Abstract Withdrawn
ORAL Withdrawn
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Control-oriented model learning with a recurrent neural network
ORAL
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Presenters
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Michele Alessandro Bucci
LIMSI-CNRS
Authors
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Michele Alessandro Bucci
LIMSI-CNRS
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Onofrio Semeraro
LIMSI-CNRS
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Alexandre Allauzen
LIMSI-CNRS
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Laurent Cordier
Univ de Poitiers, Institut PPRIME, CNRS - Université de Poitiers - ENSMA
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Guillaume Wisniewski
LIMSI-CNRS
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Lionel Mathelin
LIMSI-CNRS
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Nonlinear integro-differential operator regression with neural networks
ORAL
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Presenters
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Ravi G Patel
Cornell University
Authors
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Ravi G Patel
Cornell University
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Olivier Desjardins
Cornell University, Sibley school of Mechanical and Aerospace Engineering, Cornell University
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Control-Informed Dynamic Mode Decomposition
ORAL
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Presenters
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Michael J Banks
Univ of Illinois - Urbana
Authors
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Michael J Banks
Univ of Illinois - Urbana
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Daniel Joseph Bodony
Univ of Illinois - Urbana, University of Illinois Urbana-Champaign
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Improvements on Extended Kalman Filter Dynamic Mode Decomposition for Noisy Dataset
ORAL
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Presenters
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Taku Nonomura
Tohoku Univ, Presto, JST, Tohoku Univ
Authors
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Taku Nonomura
Tohoku Univ, Presto, JST, Tohoku Univ
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Reduced Order Control using Low-Rank Dynamic Mode Decomposition
ORAL
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Presenters
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Palash Sashittal
Univ of Illinois - Urbana
Authors
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Palash Sashittal
Univ of Illinois - Urbana
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Daniel Joseph Bodony
Univ of Illinois - Urbana, University of Illinois Urbana-Champaign
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