View in EDS HTML Full Text PDF Full Text

Consensus-based primal-dual method with event-triggered communication.

Saved in:
Bibliographic Details
Title: Consensus-based primal-dual method with event-triggered communication.
Authors: Hashimoto, Wataru1 (AUTHOR), Hayashi, Naoki2 (AUTHOR) n.hayashi@sys.es.osaka-u.ac.jp, Hara, Naoyuki3 (AUTHOR), Kawaguchi, Natsuki4 (AUTHOR), Sato, Takao4 (AUTHOR), Takai, Shigemasa1 (AUTHOR)
Source: International Journal of Control. Mar2026, Vol. 99 Issue 3, p795-807. 13p.
Subjects: Subgradient methods, Optimization algorithms, Group decision making, Multiagent systems, Convex programming, Computer network protocols
Abstract: This paper proposes an event-triggered distributed subgradient method for solving convex optimisation problems by multi-agent systems. The optimisation problem is formulated as the sum of local cost functions distributed across a network of agents with local constraints for individual agents and global inequality constraints. In the proposed approach, the estimations of the optimal primal-dual solutions are exchanged through local communication with neighbouring agents based on an event-triggered scheme. We prove that if the trigger threshold and the step-size are both diminishing and square-summable, the estimations of all agents converge to the optimal primal-dual solution. Numerical experiments show that the proposed event-triggered method effectively reduces the number of communications compared to the time-triggered methods. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Control is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 192006503
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Consensus-based primal-dual method with event-triggered communication.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hashimoto%2C+Wataru%22">Hashimoto, Wataru</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hayashi%2C+Naoki%22">Hayashi, Naoki</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> n.hayashi@sys.es.osaka-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Hara%2C+Naoyuki%22">Hara, Naoyuki</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kawaguchi%2C+Natsuki%22">Kawaguchi, Natsuki</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sato%2C+Takao%22">Sato, Takao</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Takai%2C+Shigemasa%22">Takai, Shigemasa</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Control%22">International Journal of Control</searchLink>. Mar2026, Vol. 99 Issue 3, p795-807. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Subgradient+methods%22">Subgradient methods</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Group+decision+making%22">Group decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Convex+programming%22">Convex programming</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+protocols%22">Computer network protocols</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper proposes an event-triggered distributed subgradient method for solving convex optimisation problems by multi-agent systems. The optimisation problem is formulated as the sum of local cost functions distributed across a network of agents with local constraints for individual agents and global inequality constraints. In the proposed approach, the estimations of the optimal primal-dual solutions are exchanged through local communication with neighbouring agents based on an event-triggered scheme. We prove that if the trigger threshold and the step-size are both diminishing and square-summable, the estimations of all agents converge to the optimal primal-dual solution. Numerical experiments show that the proposed event-triggered method effectively reduces the number of communications compared to the time-triggered methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Control is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192006503
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207179.2025.2537855
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 795
    Subjects:
      – SubjectFull: Subgradient methods
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Group decision making
        Type: general
      – SubjectFull: Multiagent systems
        Type: general
      – SubjectFull: Convex programming
        Type: general
      – SubjectFull: Computer network protocols
        Type: general
    Titles:
      – TitleFull: Consensus-based primal-dual method with event-triggered communication.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hashimoto, Wataru
      – PersonEntity:
          Name:
            NameFull: Hayashi, Naoki
      – PersonEntity:
          Name:
            NameFull: Hara, Naoyuki
      – PersonEntity:
          Name:
            NameFull: Kawaguchi, Natsuki
      – PersonEntity:
          Name:
            NameFull: Sato, Takao
      – PersonEntity:
          Name:
            NameFull: Takai, Shigemasa
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00207179
          Numbering:
            – Type: volume
              Value: 99
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: International Journal of Control
              Type: main
ResultId 1