Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies

Deyuan Meng; Yingmin Jia; Junping Du; Jun Zhang; Wenling Li

doi:10.1109/ACC.2013.6580641

Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies

Deyuan Meng
, Yingmin Jia
, Junping Du
, Jun Zhang
, Wenling Li

School of Automation Science and Electrical Engineering

Beijing University of Posts and Telecommunications
Beihang University

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

3 Scopus citations

Abstract

In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.

Original language	English
Title of host publication	2013 American Control Conference, ACC 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5165-5170
Number of pages	6
ISBN (Print)	9781479901777
DOIs	https://doi.org/10.1109/ACC.2013.6580641
State	Published - 2013
Event	2013 1st American Control Conference, ACC 2013 - Washington, DC, United States Duration: 17 Jun 2013 → 19 Jun 2013

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	2013 1st American Control Conference, ACC 2013
Country/Territory	United States
City	Washington, DC
Period	17/06/13 → 19/06/13

Keywords

ILC
Multi-agent systems
formation
learning algorithms
switching topologies

Access to Document

10.1109/ACC.2013.6580641

Cite this

Meng, D., Jia, Y., Du, J., Zhang, J., & Li, W. (2013). Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies. In 2013 American Control Conference, ACC 2013 (pp. 5165-5170). Article 6580641 (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2013.6580641

@inproceedings{4353f37e53fb4d6382bc861ae06506fc,

title = "Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies",

abstract = "In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.",

keywords = "ILC, Multi-agent systems, formation, learning algorithms, switching topologies",

author = "Deyuan Meng and Yingmin Jia and Junping Du and Jun Zhang and Wenling Li",

year = "2013",

doi = "10.1109/ACC.2013.6580641",

language = "英语",

isbn = "9781479901777",

series = "Proceedings of the American Control Conference",

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

pages = "5165--5170",

booktitle = "2013 American Control Conference, ACC 2013",

address = "美国",

note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",

}

Meng, D , Jia, Y, Du, J, Zhang, J & Li, W 2013, Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies. in 2013 American Control Conference, ACC 2013., 6580641, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 5165-5170, 2013 1st American Control Conference, ACC 2013, Washington, DC, United States, 17/06/13. https://doi.org/10.1109/ACC.2013.6580641

Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies. / Meng, Deyuan ; Jia, Yingmin; Du, Junping et al.
2013 American Control Conference, ACC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 5165-5170 6580641 (Proceedings of the American Control Conference).

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

TY - GEN

T1 - Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies

AU - Meng, Deyuan

AU - Jia, Yingmin

AU - Du, Junping

AU - Zhang, Jun

AU - Li, Wenling

PY - 2013

Y1 - 2013

N2 - In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.

AB - In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.

KW - ILC

KW - Multi-agent systems

KW - formation

KW - learning algorithms

KW - switching topologies

UR - https://www.scopus.com/pages/publications/84883493239

U2 - 10.1109/ACC.2013.6580641

DO - 10.1109/ACC.2013.6580641

M3 - 会议稿件

AN - SCOPUS:84883493239

SN - 9781479901777

T3 - Proceedings of the American Control Conference

SP - 5165

EP - 5170

BT - 2013 American Control Conference, ACC 2013

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2013 1st American Control Conference, ACC 2013

Y2 - 17 June 2013 through 19 June 2013

ER -

Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies

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Keywords

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