Nonlinear Dynamics: Model Reduction

ORAL · L8

Presentations

  • Novel Stochastic Mode Reduction For General Irreversible Systems

    ORAL

    –

    Authors

    • Markus Schmuck

      School of Mathematical and Computer Sciences and Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH144AS

    • Marc Pradas

      The Open University, Department of Mathematics and Statistics, The Open University, Department of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, Department of Mathematics and Statistics, Open University, Milton Keynes, Department of Mathematics and Statistics, Open University, UK

    • Greg Pavliotis

      Department of Mathematics, Imperial College London, London SW7 2AZ, UK, Imperial College London

    • Serafim Kalliadasis

      Complex Multiscale Systems Group, Department of Chemical Engineering, Imperial College London, Imperial College London, Department of Chemical Engineering, Imperial College London, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK, Department of Chemical Engineering, Imperial College, London, UK, Imperial College - London, Department of Chemical Engineering, Imperial College London, London, UK

    View abstract →

  • Sparse Identification of Nonlinear Dynamics (SINDy)

    ORAL

    –

    Authors

    • Steven Brunton

      University of Washington

    • Joshua Proctor

      Institute of Disease Modeling, Institute for Disease Modeling

    • J. Nathan Kutz

      University of Washington, Department of Applied Mathematics, University of Washington, Seattle

    View abstract →

  • Compressed sensing DMD with control

    ORAL

    –

    Authors

    • Zhe Bai

      University of Washington

    • Eurika Kaiser

      University of Washington

    • Joshua Proctor

      Institute of Disease Modeling, Institute for Disease Modeling

    • J. Nathan Kutz

      University of Washington, Department of Applied Mathematics, University of Washington, Seattle

    • Steven Brunton

      University of Washington, Department of Mechanical Engineering, University of Washington, Seattle

    View abstract →