Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control

Mohammad Amin Rezaei, Peyman Bagheri, Farzad Hashemzadeh

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

2 Citations (Scopus)

Abstract

This paper deals with the consensus tracking of multi-agent systems in the presence of some Byzantine agents. Steering the agents toward a predefined reference via model predictive control and, besides, encountering the misbehaving agents, are the main aims of the paper. Using graph properties alongside the Weighted-Mean-Subsequence-Reduced (W-MSR) algorithm led to a control method for special kinds of multi-agent systems. Combining model predictive control with W-MSR results in a new algorithm called Reference-Based-W-MSR (RBW-MSR), which has made the consensus point fixed according to a predetermined reference. The effectiveness of the proposed algorithm would be illustrated via simulation results in which different scenarios have been examined to exhibit the success of the method.

Original languageEnglish
Title of host publication2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665495691
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event8th International Conference on Control, Instrumentation and Automation, ICCIA 2022 - Virtual, Online, Iran, Islamic Republic of
Duration: 2 Mar 20223 Mar 2022

Publication series

Name2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022

Conference

Conference8th International Conference on Control, Instrumentation and Automation, ICCIA 2022
Country/TerritoryIran, Islamic Republic of
CityVirtual, Online
Period2/03/223/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Byzantine agent
  • Consensus Tracking
  • Model Predictive Control
  • Multi-Agent Systems
  • W-MSR Algorithm

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