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

• Main Authors: Pairan, Mohammad Fahmi, Shamsudin, Syariful Syafiq, Mohd Anwar, Mohd Shazlan
• Format: Article
• Language: English
• 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/
• Institution: Universiti Tun Hussein Onn Malaysia

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...