Adaptive output containment control of heterogeneous multi-agent systems with unknown leaders

  • Shan ZUO*
  • , Yongduan SONG
  • , Frank L. LEWIS
  • , Ali DAVOUDI
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

104 Citations (Scopus)

Abstract

This paper investigates the adaptive output containment control of general linear heterogeneous multi-agent systems with multiple unknown leaders whose dynamics are only known to the neighboring followers. The output containment control objective is to assure the convergence of each follower's output to the dynamic convex hull spanned by the leaders’ outputs. Compared with the situation where the leaders’ dynamics are known to each follower exactly, local adaptive observers are presented at each follower to estimate the leaders’ dynamics. Then, an adaptive tuning law is proposed to solve the associated output regulator equations without knowing leaders’ dynamics. Two distributed control protocols, using state-feedback and dynamic output-feedback are locally designed, using the estimated leaders’ dynamics and adaptive solutions to the output regulator equations. Both proposed control protocols are verified using numerical simulations.
Original languageEnglish
Pages (from-to)235-239
Number of pages5
JournalAutomatica
Volume92
Early online date26 Mar 2018
DOIs
Publication statusPublished - Jun 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Ltd

Funding

This work was supported in part by National Science FoundationECCS-1405173, in part by Office of Naval Research Grant N00014-13-1-0562, N00014-14-1-0718, and N00014-17-1-2239.

Keywords

  • Adaptive observer
  • Heterogeneous multi-agent systems
  • Output containment
  • Output-feedback
  • State-feedback

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