Conference Agenda

Session
S13.01: Flow control
Time:
Tuesday, 19/Feb/2019:
8:30am - 10:30am

Session Chair: Bernd Noack
 Location: SR 07

Presentations
8:30am - 9:10am

Machine learning of interpretable nonlinear models for unsteady flow physics

S. L. Brunton1, J. N. Kutz1, J.-C. Loiseau2, B. R. Noack3

1University of Washington, Seattle, WA, USA; 2Laboratoire DynFluid, Arts et Metiers ParisTech, Paris, France; 3Laboratoire d'Informatique pour la Mecanique et les Sciences de l'Ingenieur, LIMSI-CNRS, Orsay, France


9:10am - 9:30am

Artificial intelligence control applied to drag reduction of the fluidic pinball

G. Y. Cornejo Maceda1, B. R. Noack1,2,3,4, F. Lusseyran1, M. Morzynski5, N. Deng6, L. Pastur6

1LIMSI-CNRS, France; 2TU Braunschweig, Germany; 3TU Berlin, Germany; 4HIT Shenzen, China; 5PUT, Poland; 6ENSTA ParisTech, France


9:30am - 9:50am

Control of chaotic systems by deep reinforcement learning

M. A. Bucci1, O. Semeraro1, A. Allauzen1, L. Cordier2, L. Mathelin1

1LIMSI-CNRS, Orsay, France; 2PPRIME-CNRS, Poitiers, France


9:50am - 10:10am

Control of transient instabilities by order reduction on optimally time-dependent modes

A. Blanchard, T. Sapsis

MIT, United States of America