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Machine-learning-assisted phase-amplitude reduction for fast synchronization of airfoil wakes with constrained fluctuations

Beppu, Daiki et al.
arXiv (All) · Papers
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adaptation-and-self-organizing-systemscomputational-physicsfluid-dynamics
This study considers rapidly modifying the wake shedding frequency of the flow around an airfoil using sparse sensor information, subject to constraints on the lift coefficient fluctuations. This is achieved by combining phase-amplitude reduction with nonlinear machine-learning-based sparse sensor r
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