NEWS    Mouhacine Benosman to deliver keynote at the mini-symposium 'Data assimilation in Model Order Techniques for Computational Mechanics'

Date released: June 6, 2019

  •  NEWS    Mouhacine Benosman to deliver keynote at the mini-symposium 'Data assimilation in Model Order Techniques for Computational Mechanics'
  • Date & Time:

    July 29, 2019; 10 AM

  • Where:

    US National Congress on Computational Mechanics 2019, in Austin Texas

  • Description:

    MERL researcher Mouhacine Benosman will present his work on 'Learning-based Robust Stabilization for Reduced-Order Models of 3D Boussinesq Equations' as a keynote speaker at the mini-symposium 'Data assimilation in Model Order Techniques for Computational Mechanics', during the next US National Congress on Computational Mechanics 2019, in Austin Texas.

  • External Link:

    http://15.usnccm.org

  • Research Areas:

    Control, Data Analytics, Dynamical Systems

    •  Benosman, M., Borggaard, J., Kramer, B., "Robust POD Model Stabilization for the 3D Boussinesq Equations Based on Lyapunov Theory and Extremum Seeking", American Control Conference (ACC), DOI: 10.23919/​ACC.2017.7963218, May 2017.
      BibTeX TR2017-062 PDF
      • @inproceedings{Benosman2017may,
      • author = {Benosman, Mouhacine and Borggaard, Jeff and Kramer, Boris},
      • title = {Robust POD Model Stabilization for the 3D Boussinesq Equations Based on Lyapunov Theory and Extremum Seeking},
      • booktitle = {American Control Conference (ACC)},
      • year = 2017,
      • month = may,
      • doi = {10.23919/ACC.2017.7963218},
      • url = {https://www.merl.com/publications/TR2017-062}
      • }