Focus Session: Modal Analysis Methods for Fluid Flows I

Presentations

• Randomized Dynamic Mode Decomposition

  ORAL

  Nov. 21, 2017, 8:00 AM – Nov. 21, 2017, 8:13 AM

  Authors

  • N. Benjamin Erichson

    • University of Washington

  • Steven Brunton

    • University of Washington
    • Department of Mechanical Engineering, University of Washington, Seattle, WA
    • Univ of Washington

  • J. Nathan Kutz

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

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• Online dynamic mode decomposition for time-varying systems

  ORAL

  Nov. 21, 2017, 8:13 AM – Nov. 21, 2017, 8:26 AM

  Authors

  • Hao Zhang

    • Princeton University

  • Clarence W. Rowley

    • Princeton University

  • Eric Deem

    • Florida State University

  • Louis Cattafesta

    • Florida State University

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• Dynamic Mode Decomposition based on Kalman Filter for Parameter Estimation

  ORAL

  Nov. 21, 2017, 8:26 AM – Nov. 21, 2017, 8:39 AM

  Authors

  • Hisaichi Shibata

    • Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency
    • Japan Aerospace Exploration Agency

  • Taku Nonomura

    • Tohoku University, JST Presto

  • Ryoji Takaki

    • Japan Aerospace Exploration Agency

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• Dynamic Mode Decomposition based on Bootstrapping Extended Kalman Filter Application to Noisy data

  ORAL

  Nov. 21, 2017, 8:39 AM – Nov. 21, 2017, 8:52 AM

  Authors

  • Taku Nonomura

    • Tohoku University
    • Tohoku University, Presto, JST
    • Tohoku Univ

  • Hisaichi Shibata

    • Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency
    • Japan Aerospace Exploration Agency

  • Ryoji Takaki

    • Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency

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• Dynamic mode shaping for transient growth suppression

  ORAL

  Nov. 21, 2017, 8:52 AM – Nov. 21, 2017, 9:05 AM

  Authors

  • Maziar S. Hemati

    • Univ of Minnesota - Twin Cities

  • Huaijin Yao

    • Univ of Minnesota - Twin Cities

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• Data-driven discovery of Koopman eigenfunctions for control

  ORAL

  Nov. 21, 2017, 9:05 AM – Nov. 21, 2017, 9:18 AM

  Authors

  • Eurika Kaiser

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

  • J. Nathan Kutz

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

  • Steven Brunton

    • University of Washington
    • Department of Mechanical Engineering, University of Washington, Seattle, WA
    • Univ of Washington

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• Machine Learning-based discovery of closures for reduced models of dynamical systems

  ORAL

  Nov. 21, 2017, 9:18 AM – Nov. 21, 2017, 9:31 AM

  Authors

  • Shaowu Pan

    • University of Michigan Ann arbor

  • Karthik Duraisamy

    • Univesity of Michigan Ann arbor
    • University of Michigan

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• Low-dimensional and Data Fusion Techniques Applied to a Rectangular Supersonic Multi-stream Jet

  ORAL

  Nov. 21, 2017, 9:31 AM – Nov. 21, 2017, 9:44 AM

  Authors

  • Matthew Berry

    • Syracuse University
    • Syracuse Univ

  • Cory Stack

    • Ohio State University

  • Andrew Magstadt

    • Syracuse University

  • Mohd Ali

    • Syracuse University

  • Datta Gaitonde

    • Ohio State Univ - Columbus
    • Ohio State University
    • The Ohio State University

  • Mark Glauser

    • Syracuse University
    • Syracuse Univ

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