Collective behavior of generic linear agents interacting by dynamic topology with general structures

Lulu Chen; Yuhua Cheng; Jinliang Shao; Lei Shi; Wei Xing Zheng

doi:10.1109/CDC51059.2022.9992688

Collective behavior of generic linear agents interacting by dynamic topology with general structures

Lulu Chen, Yuhua Cheng, Jinliang Shao, Lei Shi, Wei Xing Zheng

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

Most of the classic collective behavior occurring in multiagent systems (MASs) are built upon the network topology with sufficient connectivity. The MASs that impose no restrictions on the network topology deserves due attention to reveal more general collective behavior, which means unifying consensus and containment control. This paper examines the collective behavior in the network of homogeneous generic linear agents over the dynamic topology without structural constraints. By virtue of the product of nonnegative matrices and the properties of algebraic digraphs, a systematic coordination analysis with proper parameter selection is put forward. It is shown that local consensus is reached by the agents of the same closed strongly connected component, whereas the agents outside the closed strongly connected components are ultimately confined in the convex hull defined by the agents of the closed strongly connected components. The results of the theoretical analysis are supported by computer simulations.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE 61st Annual Conference on Decision and Control (CDC 2022), Cancun, Mexico, 6-9 December 2022
Publisher	IEEE
Pages	3977-3982
Number of pages	6
ISBN (Print)	9781665467612
DOIs	https://doi.org/10.1109/CDC51059.2022.9992688
Publication status	Published - 2022
Event	IEEE Conference on Decision and Control - Duration: 1 Jan 2022 → …

Conference

Conference	IEEE Conference on Decision and Control
Period	1/01/22 → …

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© 2022 IEEE.

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10.1109/CDC51059.2022.9992688

Cite this

@inproceedings{61663aaf4fbd430da34f7833baa6a4e0,

title = "Collective behavior of generic linear agents interacting by dynamic topology with general structures",

abstract = "Most of the classic collective behavior occurring in multiagent systems (MASs) are built upon the network topology with sufficient connectivity. The MASs that impose no restrictions on the network topology deserves due attention to reveal more general collective behavior, which means unifying consensus and containment control. This paper examines the collective behavior in the network of homogeneous generic linear agents over the dynamic topology without structural constraints. By virtue of the product of nonnegative matrices and the properties of algebraic digraphs, a systematic coordination analysis with proper parameter selection is put forward. It is shown that local consensus is reached by the agents of the same closed strongly connected component, whereas the agents outside the closed strongly connected components are ultimately confined in the convex hull defined by the agents of the closed strongly connected components. The results of the theoretical analysis are supported by computer simulations.",

author = "Lulu Chen and Yuhua Cheng and Jinliang Shao and Lei Shi and Zheng, {Wei Xing}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE Conference on Decision and Control ; Conference date: 01-01-2022",

year = "2022",

doi = "10.1109/CDC51059.2022.9992688",

language = "English",

isbn = "9781665467612",

pages = "3977--3982",

booktitle = "Proceedings of the 2022 IEEE 61st Annual Conference on Decision and Control (CDC 2022), Cancun, Mexico, 6-9 December 2022",

publisher = "IEEE",

}

Chen, L, Cheng, Y, Shao, J, Shi, L & Zheng, WX 2022, Collective behavior of generic linear agents interacting by dynamic topology with general structures. in Proceedings of the 2022 IEEE 61st Annual Conference on Decision and Control (CDC 2022), Cancun, Mexico, 6-9 December 2022. IEEE, pp. 3977-3982, IEEE Conference on Decision and Control, 1/01/22. https://doi.org/10.1109/CDC51059.2022.9992688

Collective behavior of generic linear agents interacting by dynamic topology with general structures. / Chen, Lulu; Cheng, Yuhua; Shao, Jinliang et al.
Proceedings of the 2022 IEEE 61st Annual Conference on Decision and Control (CDC 2022), Cancun, Mexico, 6-9 December 2022. IEEE, 2022. p. 3977-3982.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Collective behavior of generic linear agents interacting by dynamic topology with general structures

AU - Chen, Lulu

AU - Cheng, Yuhua

AU - Shao, Jinliang

AU - Shi, Lei

AU - Zheng, Wei Xing

PY - 2022

Y1 - 2022

N2 - Most of the classic collective behavior occurring in multiagent systems (MASs) are built upon the network topology with sufficient connectivity. The MASs that impose no restrictions on the network topology deserves due attention to reveal more general collective behavior, which means unifying consensus and containment control. This paper examines the collective behavior in the network of homogeneous generic linear agents over the dynamic topology without structural constraints. By virtue of the product of nonnegative matrices and the properties of algebraic digraphs, a systematic coordination analysis with proper parameter selection is put forward. It is shown that local consensus is reached by the agents of the same closed strongly connected component, whereas the agents outside the closed strongly connected components are ultimately confined in the convex hull defined by the agents of the closed strongly connected components. The results of the theoretical analysis are supported by computer simulations.

AB - Most of the classic collective behavior occurring in multiagent systems (MASs) are built upon the network topology with sufficient connectivity. The MASs that impose no restrictions on the network topology deserves due attention to reveal more general collective behavior, which means unifying consensus and containment control. This paper examines the collective behavior in the network of homogeneous generic linear agents over the dynamic topology without structural constraints. By virtue of the product of nonnegative matrices and the properties of algebraic digraphs, a systematic coordination analysis with proper parameter selection is put forward. It is shown that local consensus is reached by the agents of the same closed strongly connected component, whereas the agents outside the closed strongly connected components are ultimately confined in the convex hull defined by the agents of the closed strongly connected components. The results of the theoretical analysis are supported by computer simulations.

UR - https://hdl.handle.net/1959.7/uws:78120

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DO - 10.1109/CDC51059.2022.9992688

M3 - Conference Paper

SN - 9781665467612

SP - 3977

EP - 3982

BT - Proceedings of the 2022 IEEE 61st Annual Conference on Decision and Control (CDC 2022), Cancun, Mexico, 6-9 December 2022

PB - IEEE

T2 - IEEE Conference on Decision and Control

Y2 - 1 January 2022

ER -

Collective behavior of generic linear agents interacting by dynamic topology with general structures

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