Distributed Entire State Estimation and Consensus Control for Lipschitz Nonlinear Multi-Agent Systems

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

*Corresponding author for this work

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

Abstract

In this paper, a novel integrated framework for distributed state estimation and consensus control is constructed for a class of Lipschitz nonlinear multi-agent systems under strongly connected graphs. The distributed output tracking algorithm and local observers are introduced to estimate the overall output and global state, respectively. Furthermore, a consensus control protocol is designed based on each agent's own entire state estimation to ensure that all agents can realize consensus. The exponential stability of the estimation error is obtained by utilizing the Lyapunov stability theory. Moreover, the proposed algorithm is still effective even in the presence of measurement output failures. Finally, numerical simulation is worked out to testify the feasibility of the proposed method.

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.
Pages443-448
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

  • Lipschitz nonlinearity
  • Multi-agent systems
  • consensus control
  • distributed entire state estimation
  • distributed output tracking

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