most citedDeep reinforcement transfer learning for active flow control of a 3D square cylinder under state dimension mismatch

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2024

Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport

Chang Hou, Luigi Marra, Guy Y. Cornejo Maceda +9

We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various wo…

physics.flu-dyn2024★ 1 cited

Deep reinforcement transfer learning for active flow control of a 3D square cylinder under state dimension mismatch

Lei Yan, Gang Hu, Wenli Chen +1

This paper focuses on developing a deep reinforcement learning (DRL) control strategy to mitigate aerodynamic forces acting on a three dimensional (3D) square cylinder under high R…

physics.flu-dyn2023★ 1 cited

Aerodynamic Characterization of a Fan Array Wind Generator

Songqi Li, Yutong Liu, Zhutao Jiang +3

Experimental assessment of safe and precise flight control algorithms for unmanned aerial vehicles (UAVs) under gusty wind conditions requires the capability to generate a large ra…