Discrete-time distributed optimization for multi-agent systems under Markovian switching topologies

Dong Wang, Jianliang Wang, Wei Wang

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

2 Citations (Scopus)

Abstract

The present paper develops a distributed protocol solving the distributed optimization problem for multi-agent systems with the discrete-time dynamics under Markovian switching topologies. Both the completely known probabilities and partially unknown probabilities in the transition matrices are taken into account. Through the proper coordination of transformation, the optimization under consideration is transformed into stability analysis of the closed-loop systems with the optimal point. Furthermore, we avert to use Young's inequality to derive the convergence condition, which is simpler and less conservative. Numerical simulations are also given to testify the proposed theorems.

Original languageEnglish
Title of host publication2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PublisherIEEE Computer Society
Pages747-752
Number of pages6
ISBN (Electronic)9781538626795
DOIs
Publication statusPublished - 4 Aug 2017
Externally publishedYes
Event13th IEEE International Conference on Control and Automation, ICCA 2017 - Ohrid, Macedonia, The Former Yugoslav Republic of
Duration: 3 Jul 20176 Jul 2017

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference13th IEEE International Conference on Control and Automation, ICCA 2017
Country/TerritoryMacedonia, The Former Yugoslav Republic of
CityOhrid
Period3/07/176/07/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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