Fully Distributed Adaptive State Estimation and Consensus Control of Multi-agent Systems: A Reduced-order Observer-based Approach

Jiazhu Huang*, Yan Li, Yuezu Lv, Jialing Zhou

*Corresponding author for this work

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

Abstract

This paper focuses on the integrated design of adaptive state estimation and consensus control for multi-agent systems. To improve the consensus performance of the multi-agent systems in the presence of some agents' sensor failures, the cooperative state estimation model is introduced, and fully distributed adaptive output tracking estimators and reduced-order state observers are designed based on this model. The consensus control protocol, relying on only the self-estimated states, is proposed and enables the achievement of consensus of the multi-agent system under directed graphs. The effectiveness of the algorithm is theoretically analyzed and validated through simulation.

Original languageEnglish
Title of host publicationProceedings of the 3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages432-437
Number of pages6
ISBN (Electronic)9798350373691
DOIs
Publication statusPublished - 2024
Event3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024 - Shenzhen, China
Duration: 10 May 202412 May 2024

Publication series

NameProceedings of the 3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024

Conference

Conference3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024
Country/TerritoryChina
CityShenzhen
Period10/05/2412/05/24

Keywords

  • Multi-agent systems
  • adaptive output tracking
  • consensus control
  • reduced-order state observer

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