Zero-Error Consensus Tracking of Uncertain Nonlinear Multi-Agent Systems

Yujuan Wang, Yongduan Song, David J. Hill

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

Abstract

The consensus tracking control problem of networked multi-agent systems (MAS) with non-vanishing uncertainties is studied. A control method capable of ensuring zero-error tracking is developed, with the salient feature that the consensus tracking error first converges to a small adjustable residual set around zero within prescribed finite time, and then shrinks to zero exponentially.

Original languageEnglish
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
EditorsMagnus Egerstedt
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages7231-7236
Number of pages6
ISBN (Electronic)9781538613955, 9781538613948
ISBN (Print)9781538613962
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventIEEE Conference on Decision and Control 2018 - Miami, United States of America
Duration: 17 Dec 201819 Dec 2018
Conference number: 57th
https://cdc2018.ieeecss.org/
https://ieeexplore.ieee.org/xpl/conhome/8592870/proceeding (Proceedings)

Publication series

NameProceedings of the IEEE Conference on Decision and Control
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2018-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

ConferenceIEEE Conference on Decision and Control 2018
Abbreviated titleCDC 2018
Country/TerritoryUnited States of America
CityMiami
Period17/12/1819/12/18
Internet address

Keywords

  • Multi-agent systems
  • Non-vanishing uncertainties
  • Pre-assignable convergence
  • Zero-error tracking

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