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Enhancing flapping foil propulsion through adaptive stiffness scheduling via deep reinforcement learning

Bio-inspired flapping propulsion offers advantages in maneuverability, noise reduction, and adaptability, but its performance is governed by strongly nonlinear fluid–structure interactions between unsteady kinematics and structural compliance. For flexible propulsors with tunable stiffness, it remai...

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Hlavní autoři: Shunhang Chen, Ruipeng Li, Ang Li, Dixia Fan, Zhenbo Lu
Médium: Artigo
Jazyk:Inglês
Vydáno: AIP Publishing LLC 2026-04-01
Edice:AIP Advances
On-line přístup:https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0317819/20978924/045039_1_5.0317819.pdf
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