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...
Main Authors: | Rebecca Zahn, Christian Breitsamter |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/7/11/162 |
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