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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6881/1/J13806_75a91a97938fdff9b81357997c6950b6.pdf http://eprints.uthm.edu.my/6881/ |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English |