Distributed adaptive optimization via edge-event-based triggering

  • Yanwei Huo
  • , Yu Zhao
  • , Zhisheng Duan
  • , Guanrong Chen

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

1 Scopus citations

Abstract

This paper investigates the distributed optimization problem for multi-agent systems. An adaptive algorithm with edge-event-based triggering is proposed to minimize a differential global objective function. It is shown that the proposed algorithm can ensure that the consensus error is asymptotically stabilized and the Zeno behaviour can be avoided. Moreover, a sampled-data scheme driven by edge-events is proposed to relax the requirement of continuous communication between neighbouring agents without the need of global information.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages6038-6043
Number of pages6
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Adaptive control
  • Distributed optimization
  • Edge-events
  • Multi-agent systems

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