The proposed RBF-BSMC to deal with External Disturbance for a team of Multiple UAVs flying in Formation. This repository presents the following article in MATLAB:
Duy-Nam Bui, and Manh Duong Phung, "Radial basis function neural networks for formation control of unmanned aerial vehicles," Robotica, 2024. [Robotica] [Citation]
@article{Bui2024,
title = {Radial basis function neural networks for formation control of unmanned aerial vehicles},
ISSN = {1469-8668},
url = {http://dx.doi.org/10.1017/S0263574724000559},
DOI = {10.1017/s0263574724000559},
journal = {Robotica},
publisher = {Cambridge University Press (CUP)},
author = {Bui, Duy-Nam and Phung, Manh Duong},
year = {2024},
month = apr,
pages = {1–19}
}
git clone git@github.com:duynamrcv/rbf_bsmc.git
Firstly, run file parameter.m to load the essential parameters. Then open adaptive.slx and press Run in the simulink.
Simulation Results: video
| Top view | Side view |
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| Top view | 3D view |
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Experiment Results: video
To develop and deploy controllers on ROS, please follow this guideline