A Neural Control Architecture for Joint-Drift-Free and Fault-Tolerant Redundant Robot Manipulators

Fault tolerance is important for a redundant robot manipulator, which endows the robot with the capability of finishing the end-effector task even when one or some of joints’ motion fails. In this paper, a varying-parameter neural control architecture is designed to achieve fault toleranc...

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Bibliographic Details
Main Authors: Nan Zhong, Xuanzong Li, Ziyi Yan, Zhijun Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8517142/