Experimental Investigation of Important Flow Sensing Data for Deep Reinforcement Learning-based Control of Flow Separation over an Airfoil
Author:
Affiliation:
1. Tokyo University of Agriculture and Technology
2. Japan Aerospace Exploration Agency (JAXA)
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-2140
Reference6 articles.
1. Overview of Plasma Flow Control: Concepts, Optimization, and Applications
2. Steady and Unsteady Plasma Wall Jets for Separation and Circulation Control
3. Closed-Loop Flow Separation Control Using the Deep Q Network over Airfoil
4. Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
5. Feedback Control of Flow Separation over Airfoil with Deep Reinforcement Learning in Numerical Simulation
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