Neuro-Fuzzy Network-Based Reduced-Order Modeling of Transonic Aileron Buzz

Neuro-Fuzzy Network-Based Reduced-Order Modeling of Transonic Aileron Buzz

In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz. The training data set for the specified ROM is obtained by p...

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Bibliographic Details
Main Authors: Rebecca Zahn, Christian Breitsamter
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Aerospace
Subjects:
nonlinear system identification
reduced-order model
neuro-fuzzy model
multilayer perceptron neural network
transonic aileron buzz
unsteady aerodynamics
Online Access:https://www.mdpi.com/2226-4310/7/11/162

Internet

https://www.mdpi.com/2226-4310/7/11/162

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