Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties

Xiao Fang; Guanghui Wen; Jialing Zhou; Wei Xing Zheng

doi:10.1109/CDC45484.2021.9683032

Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties

Xiao Fang, Guanghui Wen, Jialing Zhou, Wei Xing Zheng

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

Abstract

This paper aims to address the distributed Nash equilibrium seeking problem for noncooperative games over multi-agent networks in the presence of communication uncertainties. Compared with the existing results on distributed Nash equilibrium seeking, the underlying communication network of the agents considered in this paper is subjected to unknown communication uncertainties. Specifically, the coupling weights on communication channels are perturbed by bounded uncertain signals. To achieve the goal of Nash equilibrium seeking, two distributed adaptive Nash equilibrium seeking algorithms based on the cooperative tracking protocol and estimate feedback respectively are proposed by designing adaptive coupling weights to overcome the effect of the communication uncertainties on Nash equilibrium seeking. The convergence of the proposed algorithms is theoretically analyzed and the effectiveness of the algorithms is illustrated by simulation results.

Original language	English
Title of host publication	60th IEEE Conference on Decision and Control, CDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3387-3392
Number of pages	6
ISBN (Electronic)	9781665436595
DOIs	https://doi.org/10.1109/CDC45484.2021.9683032
Publication status	Published - 2021
Externally published	Yes
Event	60th IEEE Conference on Decision and Control, CDC 2021 - Austin, United States Duration: 13 Dec 2021 → 17 Dec 2021

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2021-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	60th IEEE Conference on Decision and Control, CDC 2021
Country/Territory	United States
City	Austin
Period	13/12/21 → 17/12/21

Access to Document

10.1109/CDC45484.2021.9683032

Cite this

Fang, X., Wen, G., Zhou, J., & Zheng, W. X. (2021). Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties. In 60th IEEE Conference on Decision and Control, CDC 2021 (pp. 3387-3392). (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC45484.2021.9683032

@inproceedings{c905797081f74657a94b58b6535b70e8,

title = "Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties",

abstract = "This paper aims to address the distributed Nash equilibrium seeking problem for noncooperative games over multi-agent networks in the presence of communication uncertainties. Compared with the existing results on distributed Nash equilibrium seeking, the underlying communication network of the agents considered in this paper is subjected to unknown communication uncertainties. Specifically, the coupling weights on communication channels are perturbed by bounded uncertain signals. To achieve the goal of Nash equilibrium seeking, two distributed adaptive Nash equilibrium seeking algorithms based on the cooperative tracking protocol and estimate feedback respectively are proposed by designing adaptive coupling weights to overcome the effect of the communication uncertainties on Nash equilibrium seeking. The convergence of the proposed algorithms is theoretically analyzed and the effectiveness of the algorithms is illustrated by simulation results.",

author = "Xiao Fang and Guanghui Wen and Jialing Zhou and Zheng, {Wei Xing}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 60th IEEE Conference on Decision and Control, CDC 2021 ; Conference date: 13-12-2021 Through 17-12-2021",

year = "2021",

doi = "10.1109/CDC45484.2021.9683032",

language = "English",

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

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

pages = "3387--3392",

booktitle = "60th IEEE Conference on Decision and Control, CDC 2021",

address = "United States",

}

Fang, X, Wen, G, Zhou, J & Zheng, WX 2021, Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties. in 60th IEEE Conference on Decision and Control, CDC 2021. Proceedings of the IEEE Conference on Decision and Control, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 3387-3392, 60th IEEE Conference on Decision and Control, CDC 2021, Austin, United States, 13/12/21. https://doi.org/10.1109/CDC45484.2021.9683032

Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties. / Fang, Xiao; Wen, Guanghui; Zhou, Jialing et al.
60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 3387-3392 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December).

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

TY - GEN

T1 - Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties

AU - Fang, Xiao

AU - Wen, Guanghui

AU - Zhou, Jialing

AU - Zheng, Wei Xing

PY - 2021

Y1 - 2021

N2 - This paper aims to address the distributed Nash equilibrium seeking problem for noncooperative games over multi-agent networks in the presence of communication uncertainties. Compared with the existing results on distributed Nash equilibrium seeking, the underlying communication network of the agents considered in this paper is subjected to unknown communication uncertainties. Specifically, the coupling weights on communication channels are perturbed by bounded uncertain signals. To achieve the goal of Nash equilibrium seeking, two distributed adaptive Nash equilibrium seeking algorithms based on the cooperative tracking protocol and estimate feedback respectively are proposed by designing adaptive coupling weights to overcome the effect of the communication uncertainties on Nash equilibrium seeking. The convergence of the proposed algorithms is theoretically analyzed and the effectiveness of the algorithms is illustrated by simulation results.

AB - This paper aims to address the distributed Nash equilibrium seeking problem for noncooperative games over multi-agent networks in the presence of communication uncertainties. Compared with the existing results on distributed Nash equilibrium seeking, the underlying communication network of the agents considered in this paper is subjected to unknown communication uncertainties. Specifically, the coupling weights on communication channels are perturbed by bounded uncertain signals. To achieve the goal of Nash equilibrium seeking, two distributed adaptive Nash equilibrium seeking algorithms based on the cooperative tracking protocol and estimate feedback respectively are proposed by designing adaptive coupling weights to overcome the effect of the communication uncertainties on Nash equilibrium seeking. The convergence of the proposed algorithms is theoretically analyzed and the effectiveness of the algorithms is illustrated by simulation results.

UR - http://www.scopus.com/inward/record.url?scp=85126035377&partnerID=8YFLogxK

U2 - 10.1109/CDC45484.2021.9683032

DO - 10.1109/CDC45484.2021.9683032

M3 - Conference contribution

AN - SCOPUS:85126035377

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 3387

EP - 3392

BT - 60th IEEE Conference on Decision and Control, CDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 60th IEEE Conference on Decision and Control, CDC 2021

Y2 - 13 December 2021 through 17 December 2021

ER -

Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties

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