Watch the video presentation of our team member Rodrigo Castellanos at the “74th Annual Meeting of the APS Division of Fluid Dynamics”
Machine learning flow control with few sensor feedback and measurement noise
The AEROMATIC team has carried out a study on machine learning (ML) closed-loop flow control of the wake of a cylinder using Linear Genetic Programming Control (LGPC) and Deep Reinforcement Learning (DRL). In this work, our team has compared LGPC and DRL in the limit...
