Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks

Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks

Abstract This paper investigates the performance decline in complex systems, such as Unmanned Aerial Vehicles (UAVs), caused by unanticipated faults and external perturbations. To improve system resilience and achieve swift recovery without depending on fault detection, a passive Fault-Tolerant Cont...

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Bibliographic Details
Main Authors: Dehua Zhang, Lei Meng, Yao Hao, Ruixue Xia
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Adaptive fault-tolerant control
Variant particle swarm optimization
RBF neural network
Sliding-mode control
Online Access:https://doi.org/10.1038/s41598-025-13659-z
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