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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Inder Science
2021
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6616/1/J13840_86bfec0ace2c4bbe3417b0d967ad1cc3.pdf http://eprints.uthm.edu.my/6616/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|