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Distributed collaborative control of redundant robots under weight-unbalanced directed graphs

Zheng, Xin; Liu, Mei; Jin, Long; Yang, Chenguang

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Authors

Xin Zheng

Mei Liu

Long Jin



Abstract

In consideration of the limitation of the communication and the possibility that redundant robots might deliver information at different power levels, cases under weight-unbalanced directed graphs from the network topology perspective are in larger accordance with those in multiple redundant robot systems. By moving forward along this direction, a distributed controller is proposed in this paper to handle circumstances of collaborative control of multiple redundant robots under weight-unbalanced directed graphs. This kind of control problem is modelled into generalized quadratic programming (QP) problems with equality and inequality constraints. Then, the above QP problems are solved by a proposed neural-dynamics-based method, whose stability and convergence are theoretically proved subsequently. Besides, several experimental examples are conducted, and related comparisons are provided to demonstrate the feasibility of the proposed controller.

Citation

Zheng, X., Liu, M., Jin, L., & Yang, C. (2024). Distributed collaborative control of redundant robots under weight-unbalanced directed graphs. IEEE Transactions on Industrial Informatics, 20(1), 681 - 690. https://doi.org/10.1109/TII.2023.3268778

Journal Article Type Article
Acceptance Date Apr 4, 2023
Online Publication Date Apr 24, 2023
Publication Date Jan 31, 2024
Deposit Date May 9, 2023
Publicly Available Date May 10, 2023
Journal IEEE Transactions on Industrial Informatics
Print ISSN 1551-3203
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 20
Issue 1
Pages 681 - 690
DOI https://doi.org/10.1109/TII.2023.3268778
Keywords Distributed collaborative control, weight-unbalanced directed graph, neural dynamics, redundant robot, Robots, Robot kinematics, Directed graphs, Collaboration, Service robots, Informatics, Kinematics
Public URL https://uwe-repository.worktribe.com/output/10746677
Publisher URL https://ieeexplore.ieee.org/document/10107417

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