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, Yaakub, Mohd Fauzi, Mohd Anwar, Mohd Shazlan
• Format: Article
• Language: English
• Published: Inder Science 2021
• Subjects: TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://eprints.uthm.edu.my/6616/1/J13840_86bfec0ace2c4bbe3417b0d967ad1cc3.pdf; http://eprints.uthm.edu.my/6616/
• 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...