Event-Triggered Distributed NE Seeking Over Directed Networks

Qianle Tao, Chengxin Xian, Yu Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the Nash equilibrium (NE) seeking in non-cooperation games over weight-unbalanced directed networks. By introducing a scalar auxiliary variable and an estimator, the event-triggered distributed NE seeking algorithm is proposed to ensure that all players’ actions converge to NE. Compared with existing NE seeking algorithms, a more general weight-unbalanced directed network is studied in this paper. Besides, both the estimator and auxiliary variable are based on event-triggered mechanisms and hence, the communication frequency among players is reduced and the efficiency of resource utilization is improved. Finally, some numerical simulations are presented to demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Optimization Technologies
EditorsYongzhao Hua, Yishi Liu, Liang Han
PublisherSpringer Science and Business Media Deutschland GmbH
Pages89-100
Number of pages12
ISBN (Print)9789819733231
DOIs
StatePublished - 2024
Event7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 - Nanjing, China
Duration: 24 Nov 202327 Nov 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1203 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
Country/TerritoryChina
CityNanjing
Period24/11/2327/11/23

Keywords

  • Directed network
  • Distributed control
  • Event-triggered mechanism
  • NE seeking

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