21 citations · 48 across the 10 of their papers we have counts for
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physics.flu-dyn2024★ 15 cited
Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic Flows
Zhecheng Liu, Diederik Beckers, Jeff D. Eldredge
The intrinsic high dimension of fluid dynamics is an inherent challenge to control of aerodynamic flows, and this is further complicated by a flow's nonlinear response to strong di…
stat.AP2024
Bayesian Inference for Estimating Heat Sources through Temperature Assimilation
Hanieh Mousavi, Jeff D. Eldredge
This paper introduces a Bayesian inference framework for two-dimensional steady-state heat conduction, focusing on the estimation of unknown distributed heat sources in a thermally…
physics.flu-dyn2024
Deep reinforcement learning of airfoil pitch control in a highly disturbed environment using partial observations
Diederik Beckers, Jeff D. Eldredge
This study explores the application of deep reinforcement learning (RL) to design an airfoil pitch controller capable of minimizing lift variations in randomly disturbed flows. The…