FlowCon is a project devoted to the development and the experimental demonstration of innovative methods for the closed loop control of turbulent fluid flows using machine learning. FlowCon is a highly interdisciplinary project involving researchers from the fluid mechanics community...

In contrast with most current control strategies, this project aims to develop and offer control methods applicable to operational configurations. In particular, the proposed methods could be applied to systems governed by strongly nonlinear equations. Information on the system to...

Recent visitors to the project members: Prof. Kunihiko (Sam) Taira (UCLA, USA), Sep. 2019. Prof. Alex Gorodetsky (University of Michigan, USA), June 2019, 2 weeks. Prof. Themis Sapsis (MIT, USA), Fall 2018. Prof. Guillermo Artana (CONICET, Argentina), Fall 2018, 1...