Automated Aerial Refueling Docking Control Based on Adaptive RBFNN Dynamic Inversion

This paper proposes a control method based on adaptive radial basis function neural networks (RBFNN) and dynamic inversion control for unmanned receiver to address the nonlinearities and uncertainties in the autonomous aerial refueling docking process. Following the principle of time-scale separatio...

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Detalles Bibliográficos

Principais autores:	Zhijie Liu, Weiwen Zheng, Jun Shi, Yakun He
Formato:	Artigo
Idioma:	Inglês
Publicado:	World Scientific Publishing Co Pte Ltd 2025-08-01
Series:	Guidance, Navigation and Control
Assuntos:	Automated aerial refueling nonlinear dynamic inversion adaptive RBF neural networks flight control system
Acceso en liña:	https://www.worldscientific.com/doi/10.1142/S2737480725500190
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