Prescribed finite time consensus of networked multi-agent systems

  • Yujuan WANG
  • , Yongduan SONG*
  • , David J. HILL
  • , Miroslav KRSTIC
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

21 Citations (Scopus)

Abstract

The paper presents a finite-time distributed control method for consensus of networked multiple systems, which is different from the traditional methods based on signum function or fractional power state feedback (where the finite convergence time is contingent on initial conditions and the control action is discontinuous or non-smooth). More specifically, the proposed method is built upon the regular state feedback, incorporated with a finite-time scaling function, leading to distributed smooth control action. Furthermore, with this method, the consensus is achieved within prescribed-time under bidirectional interaction. Namely, all the agents reach the average consensus in designer-assigned finite time under undirected connected topology. Numerical simulations demonstrate and validate the superiority of the proposed control.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4088-4093
Number of pages6
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - Dec 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China (No. 61773081), technology transformation program of Chongqing higher education university (KJZH17102), and a grant from the Research Grants Council of the Hong Kong Special Administrative Region under General Research Fund through Project (No. 17202414).

Keywords

  • Consensus
  • Networked multiple systems
  • Prescribed-time

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