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