Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks

In this paper, we present the performance analysis of a fully tuned neural network trained with the extended minimal resource allocating network (EMRAN) algorithm for real-time identification of a quadcopter. Radial basis function network (RBF) based on system identification can be utilised as...

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Bibliographic Details

Main Authors:	Pairan, Mohammad Fahmi, Shamsudin, Syariful Syafiq, Mohd Anwar, Mohd Shazlan
Format:	Article
Language:	en
Published:	2021
Subjects:	QA801-939 Analytic mechanics
Online Access:	http://eprints.uthm.edu.my/6881/1/J13806_75a91a97938fdff9b81357997c6950b6.pdf http://eprints.uthm.edu.my/6881/
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