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 / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

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	Proceedings of the 2021 60th IEEE Annual Conference on Decision and Control (CDC 2021), Austin, Texas, USA, 14 - 17 December 2021
Publisher	IEEE
Pages	3387-3392
Number of pages	6
ISBN (Print)	9781665436595
DOIs	https://doi.org/10.1109/CDC45484.2021.9683032
Publication status	Published - 2021
Event	IEEE Conference on Decision and Control - Duration: 13 Dec 2021 → …

Publication series

Name
ISSN (Print)	0743-1546

Conference

Conference	IEEE Conference on Decision and Control
Period	13/12/21 → …

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Access to Document

10.1109/CDC45484.2021.9683032

Cite this

@inproceedings{8786621a53454a30af3d5554a7a644d9,

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.; IEEE Conference on Decision and Control ; Conference date: 13-12-2021",

year = "2021",

doi = "10.1109/CDC45484.2021.9683032",

language = "English",

isbn = "9781665436595",

publisher = "IEEE",

pages = "3387--3392",

booktitle = "Proceedings of the 2021 60th IEEE Annual Conference on Decision and Control (CDC 2021), Austin, Texas, USA, 14 - 17 December 2021",

}

Fang, X, Wen, G, Zhou, J & Zheng, WX 2021, Distributed adaptive Nash equilibrium seeking over multi-agent networks with communication uncertainties. in Proceedings of the 2021 60th IEEE Annual Conference on Decision and Control (CDC 2021), Austin, Texas, USA, 14 - 17 December 2021. IEEE, pp. 3387-3392, IEEE Conference on Decision and Control, 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.
Proceedings of the 2021 60th IEEE Annual Conference on Decision and Control (CDC 2021), Austin, Texas, USA, 14 - 17 December 2021. IEEE, 2021. p. 3387-3392.

Research output: Chapter in Book / Conference Paper › Conference Paper › 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 - https://hdl.handle.net/1959.7/uws:75409

U2 - 10.1109/CDC45484.2021.9683032

DO - 10.1109/CDC45484.2021.9683032

M3 - Conference Paper

SN - 9781665436595

SP - 3387

EP - 3392

BT - Proceedings of the 2021 60th IEEE Annual Conference on Decision and Control (CDC 2021), Austin, Texas, USA, 14 - 17 December 2021

PB - IEEE

T2 - IEEE Conference on Decision and Control

Y2 - 13 December 2021

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this