Research on Manipulator Tracking Control Algorithm Based on RBF Neural Network

According to the characteristics of strong coupling and highly nonlinear of manipulator, a trajectory tracking control method based on neural network is proposed. This paper makes full use of the neural network’s self-learning characteristics, parallel processing ability, nonlinear mapping ability,...

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Veröffentlicht in:	Journal of physics. Conference series 2021-03, Vol.1802 (3), p.32072
Hauptverfasser:	Chang, Zhoulin, Hao, Linzhao, Yan, Qiyan, Ye, Tianyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Control algorithms Control methods Control systems design Control theory Fault tolerance Manipulators Neural networks Parallel processing Physics Robot arms Tracking control Trajectory control
Online-Zugang:	Volltext
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