Reduced-order modeling of dynamic stall using neuro-fuzzy inference system and orthogonal functions
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Title
Reduced-order modeling of dynamic stall using neuro-fuzzy inference system and orthogonal functions
Authors
Keywords
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Journal
PHYSICS OF FLUIDS
Volume 32, Issue 4, Pages 045101
Publisher
AIP Publishing
Online
2020-04-02
DOI
10.1063/1.5144861
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- Training ANFIS structure using simulated annealing algorithm for dynamic systems identification
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- Reduced-Order Modeling of Flutter and Limit-Cycle Oscillations Using the Sparse Volterra Series
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- Numerical investigations on dynamic stall of low Reynolds number flow around oscillating airfoils
- (2010) Shengyi Wang et al. COMPUTERS & FLUIDS
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- Capturing transition features around a wing by reduced-order modeling based on compressible Navier–Stokes equations
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