Distributed Adaptive Leader-following control for multi-agent multi-degree manipulators with Finite-Time guarantees
A robust distributed adaptive leader-following control for multi-degree-of-freedom (multi-DOF) robot manipulator-type agents is proposed to guarantee finite-time convergence for leader-following tracking and parameter estimation via agent-based estimation and control algorithms. The dynamics of...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.usm.my/30477/ http://eprints.usm.my/30477/1/IEEE_CONFERENCE.pdf |
| _version_ | 1848876361159016448 |
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| author | Mahyuddin, Muhammad Nasiruddin Herrmann, Guido Lewis, Frank L. |
| author_facet | Mahyuddin, Muhammad Nasiruddin Herrmann, Guido Lewis, Frank L. |
| author_sort | Mahyuddin, Muhammad Nasiruddin |
| building | USM Institutional Repository |
| collection | Online Access |
| description | A robust distributed adaptive leader-following
control for multi-degree-of-freedom (multi-DOF) robot
manipulator-type agents is proposed to guarantee finite-time
convergence for leader-following tracking and parameter
estimation via agent-based estimation and control algorithms.
The dynamics of each manipulator agent system of n degrees
including the leader agent are assumed unknown. For a
specific leader-following network Laplacian, the agents’
position, velocity and some switched control information can
be fed back to the communication network. In contrast to the
current multi-agent literature for robotic manipulators, the
proposed approach does not require a priori information of the
leader’s joint velocity and acceleration to be available to all
agents due to the use of agent-based robust adaptive control
elements. Due to the multi-DOF character of each agent,
matrix theoretical results related to M-matrix theory used for
multi-agent systems needs to be extended to the multi-degree
context in contrast to recent scalar double integrator results.
A simulation example of two-degree of freedom manipulators
exemplifies the effectiveness of the approach. |
| first_indexed | 2025-11-15T16:58:19Z |
| format | Conference or Workshop Item |
| id | usm-30477 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T16:58:19Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-304772017-11-20T07:22:01Z http://eprints.usm.my/30477/ Distributed Adaptive Leader-following control for multi-agent multi-degree manipulators with Finite-Time guarantees Mahyuddin, Muhammad Nasiruddin Herrmann, Guido Lewis, Frank L. TK1-9971 Electrical engineering. Electronics. Nuclear engineering A robust distributed adaptive leader-following control for multi-degree-of-freedom (multi-DOF) robot manipulator-type agents is proposed to guarantee finite-time convergence for leader-following tracking and parameter estimation via agent-based estimation and control algorithms. The dynamics of each manipulator agent system of n degrees including the leader agent are assumed unknown. For a specific leader-following network Laplacian, the agents’ position, velocity and some switched control information can be fed back to the communication network. In contrast to the current multi-agent literature for robotic manipulators, the proposed approach does not require a priori information of the leader’s joint velocity and acceleration to be available to all agents due to the use of agent-based robust adaptive control elements. Due to the multi-DOF character of each agent, matrix theoretical results related to M-matrix theory used for multi-agent systems needs to be extended to the multi-degree context in contrast to recent scalar double integrator results. A simulation example of two-degree of freedom manipulators exemplifies the effectiveness of the approach. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/30477/1/IEEE_CONFERENCE.pdf Mahyuddin, Muhammad Nasiruddin and Herrmann, Guido and Lewis, Frank L. (2013) Distributed Adaptive Leader-following control for multi-agent multi-degree manipulators with Finite-Time guarantees. In: 52nd IEEE Conference on Decision & Control, 10 – 13 Disember 2013, Florence, Itali. (Submitted) |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Mahyuddin, Muhammad Nasiruddin Herrmann, Guido Lewis, Frank L. Distributed Adaptive Leader-following control for multi-agent multi-degree manipulators with Finite-Time guarantees |
| title | Distributed Adaptive Leader-following control for multi-agent
multi-degree manipulators with Finite-Time guarantees |
| title_full | Distributed Adaptive Leader-following control for multi-agent
multi-degree manipulators with Finite-Time guarantees |
| title_fullStr | Distributed Adaptive Leader-following control for multi-agent
multi-degree manipulators with Finite-Time guarantees |
| title_full_unstemmed | Distributed Adaptive Leader-following control for multi-agent
multi-degree manipulators with Finite-Time guarantees |
| title_short | Distributed Adaptive Leader-following control for multi-agent
multi-degree manipulators with Finite-Time guarantees |
| title_sort | distributed adaptive leader-following control for multi-agent
multi-degree manipulators with finite-time guarantees |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/30477/ http://eprints.usm.my/30477/1/IEEE_CONFERENCE.pdf |