Recurrent Neural Network for Estimation of Aerodynamic Parameters

In this paper, Recurrent Neural Network (RNN) is proposed for the estimation of aerodynamic derivatives of an aircraft. The simulated flight data for short period mode of research aircraft, Hansa is used to train the RNN. The trained RNN is then used to predict the output for a given input file. The...

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Bibliographic Details

Published in:	International Conference on Signal Processing and Integrated Networks (Online) pp. 150 - 155
Main Authors:	Mahajan, Hardik K., Kaur, Jaspreet, Singh, S., Banerjee, S.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.08.2021
Subjects:	Aerodynamics Backpropagation Delta Method Estimation Feed Forward Back Propagation Neural Network Force Parameter Estimation Recurrent Neural Network Recurrent neural networks Signal processing Signal processing algorithms
ISSN:	2688-769X
Online Access:	Get full text
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