Nonlinear Dynamics: Model Reduction II

Presentations

• A Bayesian Reinterpretation of Dynamical System Identification by Sparse Regression Methods

  ORAL

  Nov. 25, 2019, 1:45 PM – Nov. 25, 2019, 1:58 PM

  Authors

  • Robert K Niven

    • The University of New South Wales, Australia

  • Laurent Cordier

    • Institut Pprime, Poitiers, France.

  • Markus Abel

    • Ambrosys GmbH, Potsdam, Germany.

  • Markus Quade

    • Ambrosys GmbH, Potsdam, Germany.

  • Ali Mohammad-Djafari

    • CentraleSup\'elec, Gif-sur-Yvette, France.

  View abstract →

• Model Reduction via Time-Continuous Least-Squares Residual Minimization

  ORAL

  Nov. 25, 2019, 1:58 PM – Nov. 25, 2019, 2:11 PM

  Authors

  • Eric Parish

    • Sandia National Labs

  View abstract →

• LSTM based nonintrusive ROM of convective flows

  ORAL

  Nov. 25, 2019, 2:11 PM – Nov. 25, 2019, 2:24 PM

  Authors

  • Shady Ahmed

    • School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078, USA.

  • Sk. Mashfiqur Rahman

    • School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078, USA.

  • Omer San

    • Oklahoma State University
    • School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078, USA.

  • Adil Rasheed

    • Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7465, Trondheim, Norway.

  View abstract →

• Nonlinear dimensionality reduction and prediction of chaotic spatiotemporal dynamics in translation-symmetric systems via deep learning

  ORAL

  Nov. 25, 2019, 2:24 PM – Nov. 25, 2019, 2:37 PM

  Authors

  • Alec Linot

    • University of Wisconsin-Madison

  • Michael Graham

    • University of Wisconsin-Madison
    • U. Wisconsin

  View abstract →

• Koopman operator approximations for PDEs using deep learning

  ORAL

  Nov. 25, 2019, 2:37 PM – Nov. 25, 2019, 2:50 PM

  Authors

  • Craig Gin

    • University of Washington

  • Bethany Lusch

    • Argonne National Laboratory

  • Steven Brunton

    • University of Washington

  • Nathan Kutz

    • University of Washington

  View abstract →

• A Koopman-based framework for forecasting the spatiotemporal evolution of chaotic dynamics

  ORAL

  Nov. 25, 2019, 2:50 PM – Nov. 25, 2019, 3:03 PM

  Authors

  • Mohammad Amin Khodkar

    • Rice University

  • Pedram Hassanzadeh

    • Rice University

  • Athanasios Antoulas

    • Rice University

  View abstract →

• Predicting long-term dynamics of chaotic systems with hybrid machine learning

  ORAL

  Nov. 25, 2019, 3:03 PM – Nov. 25, 2019, 3:16 PM

  Authors

  • Sreetej Lakkam

    • Singapore University of Technology and Design

  • Balamurali B T

    • Singapore University of Technology and Design

  • Jurriaan J J Gillissen

    • University College London
    • Department of Mathematics, University College London,

  • Roland Bouffanais

    • Singapore University of Technology and Design

  View abstract →