How to control hydrodynamic force on fluidic pinball via deep reinforcement learning
Deep reinforcement learning (DRL) for fluidic pinball, three individually rotating cylinders in
the uniform flow arranged in an equilaterally triangular configuration, can learn the efficient …
the uniform flow arranged in an equilaterally triangular configuration, can learn the efficient …
From sparse data to high-resolution fields: ensemble particle modes as a basis for high-resolution flow characterization
In this work, we present an approach to reconstruct high-resolution flow velocity or scalar
fields from sparse particle-based measurements such as particle tracking velocimetry …
fields from sparse particle-based measurements such as particle tracking velocimetry …
Self-tuning model predictive control for wake flows
This study presents a noise-robust closed-loop control strategy for wake flows employing
model predictive control. The proposed control framework involves the autonomous offline …
model predictive control. The proposed control framework involves the autonomous offline …
[PDF][PDF] Discetti, S.(2021). From sparse data to high-resolution fields: ensemble particle modes as a basis for high-resolution flow characterization. Experimental …
In this work, we present an approach to reconstruct high-resolution flow velocity or scalar
fields from sparse particlebased measurements such as particle tracking velocimetry …
fields from sparse particlebased measurements such as particle tracking velocimetry …