RBFNN-Based Singularity-Free Terminal Sliding Mode Control for Uncertain Quadrotor UAVs

In this article, a singularity-free terminal sliding mode (SFTSM) control scheme based on the radial basis function neural network (RBFNN) is proposed for the quadrotor unmanned aerial vehicles (QUAVs) under the presence of inertia uncertainties and external disturbances. Firstly, a singularity-free...

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Detalles Bibliográficos
Autores principales: Tao, Meiling, He, Xiongxiong, Xie, Shuzong, Chen, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390155/
https://www.ncbi.nlm.nih.gov/pubmed/34456992
http://dx.doi.org/10.1155/2021/3576783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390155/
https://www.ncbi.nlm.nih.gov/pubmed/34456992
http://dx.doi.org/10.1155/2021/3576783

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