Distributed adaptive disturbance rejection control for general linear multi-agent systems

Yanwei Huo, Yu Zhao, Zhisheng Duan

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

Abstract

In this paper, the distributed disturbance rejection problem is investigated for general linear multi-agent systems. First, a distributed extended state observer is proposed, where both the local states and the external disturbance is estimated by using the absolute output information from local agent. Then distributed adaptive protocol is proposed for each agent by using the relative estimated states and disturbance estimation. It's shown that the consensus error converges to zero eventually with the complete disturbance rejection. Finally, a simulation example is given to illustrate the effectiveness of the proposed protocol.

Original languageEnglish
Title of host publicationCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-165
Number of pages6
ISBN (Electronic)9781728127675
DOIs
StatePublished - Aug 2019
Event3rd IEEE Conference on Control Technology and Applications, CCTA 2019 - Hong Kong, China
Duration: 19 Aug 201921 Aug 2019

Publication series

NameCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications

Conference

Conference3rd IEEE Conference on Control Technology and Applications, CCTA 2019
Country/TerritoryChina
CityHong Kong
Period19/08/1921/08/19

Keywords

  • adaptive control
  • consensus
  • distributed extended state observer
  • disturbance rejection
  • multi-agent system

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