Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows

We present a sparse sensing framework based on dynamic mode decomposition (DMD) to identify flow regimes and bifurcations in large-scale thermofluid systems. Motivated by real-time sensing and control of thermal-fluid flows in buildings and equipment, we apply this method to a direct numerical simul...

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Bibliographic Details
Main Authors: Kramer, Boris (Contributor), Grover, Piyush (Author), Boufounos, Petros (Author), Nabi, Saleh (Author), Benosman, Mouhacine (Author)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Boris Kramer (Contributor)
Format: Article
Language:English
Published: Society for Industrial and Applied Mathematics, 2018-05-16T14:14:56Z.
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