Distributed Optimal Coordination of Multiple Euler-Lagrange Systems over Directed Networks

Zeyu Sun, Yongfang Liu, Yibo Wang, Yu Zhao

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

Abstract

This paper investigates the distributed optimal coordination (DOC) problem of multiple Euler-Lagrange (EL) systems over weighted-unbalanced directed networks. By introducing a balanced compensation variable associated with the out-degree information, a nonlinear DOC controller coupling with a DOC estimator are established to estimate optimal solution of DOC problem while coordinating the states of all agents to reach consensus. Additionally, a Lyapunov stability analysis framework is formulated to analyze the convergence of the proposed DOC algorithm. Finally, a numerical simulation is illustrated to validate the effectiveness of proposed theoretical results.

Original languageEnglish
Title of host publicationProceedings - 2024 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1839-1843
Number of pages5
ISBN (Electronic)9798350379228
DOIs
StatePublished - 2024
Event39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024 - Dalian, China
Duration: 7 Jun 20249 Jun 2024

Publication series

NameProceedings - 2024 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024

Conference

Conference39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
Country/TerritoryChina
CityDalian
Period7/06/249/06/24

Keywords

  • Distributed optimal coordination
  • Euler-Lagrange systems
  • Weight-unbalanced digraph

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