Cluster formation tracking of networked perturbed robotic systems via hierarchical fixed-time neural adaptive approach

Abstract This paper investigates the fixed-time cluster formation tracking (CFT) problem for networked perturbed robotic systems (NPRSs) under directed graph information interaction, considering parametric uncertainties, external perturbations, and actuator input deadzone. To address this complex pr...

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Bibliographic Details
Main Authors: Xionghua Liu, Kai-Lun Huang, Chang-Duo Liang, Jing-Zhe Xu, Qian Chen, Ming-Feng Ge
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-75618-4
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