Group consensus of multiple integrator agents under general topology

Liahu Qin; Changbin Yu

doi:10.1109/CDC.2013.6760299

Group consensus of multiple integrator agents under general topology

Liahu Qin, Changbin Yu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Citations (Scopus)

Abstract

The group consensus algorithm for multiple integrator agents with the presence of negative couplings among different clusters is considered in this note which aims mainly to address the general concern that whether the group consensus can be reached from any initial states if the underlying topology of each cluster (subgroup) has a directed spanning tree and the couplings within each cluster, compared to those among different clusters, are sufficiently strong. In addition to the group convergence analysis, both the lower bounds for such strengths and the the group convergence rate can be explicitly specified as well. Moreover, this note also analyzes the factors that decide the final consensus value of each cluster.

Original language	English
Title of host publication	2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2752-2757
Number of pages	6
ISBN (Print)	9781467357173
DOIs	https://doi.org/10.1109/CDC.2013.6760299
Publication status	Published - 2013
Event	52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy Duration: 10 Dec 2013 → 13 Dec 2013

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	52nd IEEE Conference on Decision and Control, CDC 2013
Country/Territory	Italy
City	Florence
Period	10/12/13 → 13/12/13

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10.1109/CDC.2013.6760299

Cite this

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title = "Group consensus of multiple integrator agents under general topology",

abstract = "The group consensus algorithm for multiple integrator agents with the presence of negative couplings among different clusters is considered in this note which aims mainly to address the general concern that whether the group consensus can be reached from any initial states if the underlying topology of each cluster (subgroup) has a directed spanning tree and the couplings within each cluster, compared to those among different clusters, are sufficiently strong. In addition to the group convergence analysis, both the lower bounds for such strengths and the the group convergence rate can be explicitly specified as well. Moreover, this note also analyzes the factors that decide the final consensus value of each cluster.",

author = "Liahu Qin and Changbin Yu",

year = "2013",

doi = "10.1109/CDC.2013.6760299",

language = "English",

isbn = "9781467357173",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2752--2757",

booktitle = "2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013",

address = "United States",

note = "52nd IEEE Conference on Decision and Control, CDC 2013 ; Conference date: 10-12-2013 Through 13-12-2013",

}

Qin, L & Yu, C 2013, Group consensus of multiple integrator agents under general topology. in 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013., 6760299, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 2752-2757, 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, 10/12/13. https://doi.org/10.1109/CDC.2013.6760299

Group consensus of multiple integrator agents under general topology. / Qin, Liahu; Yu, Changbin.
2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 2752-2757 6760299 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The group consensus algorithm for multiple integrator agents with the presence of negative couplings among different clusters is considered in this note which aims mainly to address the general concern that whether the group consensus can be reached from any initial states if the underlying topology of each cluster (subgroup) has a directed spanning tree and the couplings within each cluster, compared to those among different clusters, are sufficiently strong. In addition to the group convergence analysis, both the lower bounds for such strengths and the the group convergence rate can be explicitly specified as well. Moreover, this note also analyzes the factors that decide the final consensus value of each cluster.

AB - The group consensus algorithm for multiple integrator agents with the presence of negative couplings among different clusters is considered in this note which aims mainly to address the general concern that whether the group consensus can be reached from any initial states if the underlying topology of each cluster (subgroup) has a directed spanning tree and the couplings within each cluster, compared to those among different clusters, are sufficiently strong. In addition to the group convergence analysis, both the lower bounds for such strengths and the the group convergence rate can be explicitly specified as well. Moreover, this note also analyzes the factors that decide the final consensus value of each cluster.

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Group consensus of multiple integrator agents under general topology

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