Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/94817
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Type: Journal article
Title: Decentralized adaptive fuzzy tracking control for robot finger dynamics
Author: Zhou, Q.
Li, H.
Shi, P.
Citation: IEEE Transactions on Fuzzy Systems, 2015; 23(3):501-510
Publisher: IEEE
Issue Date: 2015
ISSN: 1063-6706
1941-0034
Statement of
Responsibility: 
Qi Zhou, Hongyi Li, and Peng Shi
Abstract: In this paper, a novel design method for adaptive tracking control is proposed for robot finger dynamics. First, the dynamics are described by considering the robot finger as a large-scale system since it has many joints and multi-degrees of freedoms (DOFs). Second, by employing the direct adaptive fuzzy approximation method to approximate the unknown and desired control input signals instead of the unknown nonlinear functions, the number of adaptive design parameters obtained in the control design process is greatly reduced. Moreover, it is shown that the designed controller can guarantee all the signals in the closed-loop system to be semiglobally uniformly ultimately bounded. Finally, simulations are conducted on the Puma 560 robot manipulator, and the results show the effectiveness of the developed control design approach.
Rights: © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
RMID: 0030031068
DOI: 10.1109/TFUZZ.2014.2315661
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
Appears in Collections:Electrical and Electronic Engineering publications

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