Chaos, Fractals, and Dynamical Systems II: Analysis, Prediction, and Control

Presentations

• Novel sampling strategies for dynamic mode decomposition

  ORAL

  Nov. 25, 2013, 10:30 AM – Nov. 25, 2013, 10:43 AM

  Authors

  • Jonathan H. Tu

    • Princeton University

  • Dirk M. Luchtenburg

    • Princeton University

  • Clarence W. Rowley

    • Princeton University

  • Steven L. Brunton

    • University of Washington

  • J. Nathan Kutz

    • University of Washington

  View abstract →

• Effects of small noise on the DMD/Koopman spectrum

  ORAL

  Nov. 25, 2013, 10:43 AM – Nov. 25, 2013, 10:56 AM

  Authors

  • Shervin Bagheri

    • Linne Flow Centre, KTH Mechanics, Stockholm

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• Attractor Identification from Empirical Data Using Diffusion-Mapped Delay Coordinates

  ORAL

  Nov. 25, 2013, 10:56 AM – Nov. 25, 2013, 11:09 AM

  Authors

  • Zrinka Greguric Ferencek

    • George Mason University

  • Tyrus Berry

    • George Mason University

  • Timothy Sauer

    • George Mason University

  • John Cressman

    • George Mason University

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• Nonlinear analysis of polymer electrolyte fuel cell dynamics with cathode two-phase flow

  ORAL

  Nov. 25, 2013, 11:09 AM – Nov. 25, 2013, 11:22 AM

  Authors

  • Michael Burkholder

    • Department of Mechanical Engineering, Carnegie Mellon University

  • Shawn Litster

    • Department of Mechanical Engineering, Carnegie Mellon University

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• Is Chaotic Advection Inherent to Porous Media Flow?

  ORAL

  Nov. 25, 2013, 11:22 AM – Nov. 25, 2013, 11:35 AM

  Authors

  • Daniel Lester

    • CSIRO

  • Guy Metcalfe

    • Commonwealth Scientific and Industrial Research Organisation
    • CSIRO

  • Mike Trefry

    • CSIRO

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• Collaborative tracking and control in time-dependent stochastic dynamical systems

  ORAL

  Nov. 25, 2013, 11:35 AM – Nov. 25, 2013, 11:48 AM

  Authors

  • Eric Forgoston

    • Montclair State University

  • Ani Hsieh

    • Drexel University

  • Ira Schwartz

    • U.S. Naval Research Laboratory

  • Philip Yecko

    • Montclair State University

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• Nonlinear dynamic estimation with sparse sensors

  ORAL

  Nov. 25, 2013, 11:48 AM – Nov. 25, 2013, 12:01 PM

  Authors

  • Steven Brunton

    • University of Washington, USA
    • University of Washington

  • Jonathan H. Tu

    • Princeton University

  • Nathan Kutz

    • University of Washington

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• Understanding the evolution of complex multiscale systems: Dynamic renormalization, non-equilibrium entropy and stochasticity

  ORAL

  Nov. 25, 2013, 12:01 PM – Nov. 25, 2013, 12:14 PM

  Authors

  • Marc Pradas

    • Department of Chemical Engineering, Imperial College London, UK
    • Department of Chemical Engineering, Imperial College London

  • Markus Schmuck

    • Department of Chemical Engineering, Imperial College London, UK

  • Grigorios Pavliotis

    • Department of Mathematics, Imperial College London, UK
    • Department of Mathematics, Imperial Collge London, UK

  • Serafim Kalliadasis

    • Department of Chemical Engineering, Imperial College London, UK
    • Department of Chemical Engineering, Imperial College London

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• Semi-automatic reduced order models from expert-defined transients

  ORAL

  Nov. 25, 2013, 12:14 PM – Nov. 25, 2013, 12:27 PM

  Authors

  • Andreas Class

    • Karlsruhe Institute of Technology
    • Areva nuclear professional school, Karlsruhe Institute of Technology, Germany
    • Areva Nuclear Professional School, Karlsruhe Institut of Technologie, Germany

  • Dennis Prill

    • Areva Nuclear Professional School, Karlsruhe Institut of Technologie, Germany

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• Cluster-based reduced-order modelling of a mixing layer

  ORAL

  Nov. 25, 2013, 12:27 PM – Nov. 25, 2013, 12:40 PM

  Authors

  • Eurika Kaiser

    • Institute PPRIME, France

  • Bernd R. Noack

    • Institute PPRIME, France

  • Laurent Cordier

    • Institute PPRIME, France

  • Andreas Spohn

    • Institute PPRIME, France

  • Marc Segond

    • Ambrosys GmbH, Germany

  • Markus Abel

    • Ambrosys GmbH, Germany

  • Guillaume Daviller

    • CERFACS, France

  • Robert K. Niven

    • ADFA/UNSW, Australia

  View abstract →