Continuous-Time Distributed Nash Equilibrium Seeking for Heterogeneous High-Order Systems in Aggregative Games Over Digraphs

Hongjie Pei, Qianle Tao, Yongfang Liu, Yu Zhao

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

Abstract

This article investigates distributed Nash equilibrium (NE) seeking problem for aggregative games with heterogeneous higher-order integrator dynamics over weight-unbalanced digraphs.Each player possesses a local objective function that possesses not only its own strategy but also an aggregative term.First, by incorporating the compensator technique, an estimator with a consensus protocol is designed to distributed estimate this aggregative term.Second, a continuous-time distributed NE seeking algorithm is proposed by designing a state-feedback based controller, ensuring exponential convergence to NE.Moreover, the algorithm is analysed as exponentially stable through Lyapunov stability theory.Finally, the effectiveness of the algorithm is verified by numerical simulation.

Original languageEnglish
Title of host publicationProceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024
EditorsRong Song
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-106
Number of pages6
ISBN (Electronic)9798350384185
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on Unmanned Systems, ICUS 2024 - Nanjing, China
Duration: 18 Oct 202420 Oct 2024

Publication series

NameProceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024

Conference

Conference2024 IEEE International Conference on Unmanned Systems, ICUS 2024
Country/TerritoryChina
CityNanjing
Period18/10/2420/10/24

Keywords

  • consensus protocol
  • distributed Nash equilibrium
  • heterogeneous higher-order integrator dynamic
  • weight-unbalanced digraph

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