View in EDS

Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions.

Saved in:
Bibliographic Details
Title: Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions.
Authors: Ren, Chang-E1,2 (AUTHOR) dtlrce@gmail.com, Chen, CL Philip3 (AUTHOR)
Source: Transactions of the Institute of Measurement & Control. Nov2020, Vol. 42 Issue 15, p2941-2950. 10p.
Subjects: Multiagent systems, Adaptive fuzzy control, Nonlinear systems, Fuzzy logic, Fuzzy systems, Nonlinear equations
Abstract: In this paper, the leader-following consensus control problem of discrete-time nonlinear multi-agent systems with unknown control directions is discussed. The preview future information of the leader is utilized when the distributed controllers are designed. Fuzzy logic system is directly introduced to approximate the uncertainty and unknown control directions and the adaptive distributed controller with preview information is put forward. The designed controller can drive all the states of followers to converge to a small neighbourhood of the leader's state. In addition, all the states of followers remain bounded. Finally, the results of simulations can display the effectiveness of the presented algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Transactions of the Institute of Measurement & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 146597292
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ren%2C+Chang-E%22">Ren, Chang-E</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> dtlrce@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+CL+Philip%22">Chen, CL Philip</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Transactions+of+the+Institute+of+Measurement+%26+Control%22">Transactions of the Institute of Measurement & Control</searchLink>. Nov2020, Vol. 42 Issue 15, p2941-2950. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+fuzzy+control%22">Adaptive fuzzy control</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+equations%22">Nonlinear equations</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, the leader-following consensus control problem of discrete-time nonlinear multi-agent systems with unknown control directions is discussed. The preview future information of the leader is utilized when the distributed controllers are designed. Fuzzy logic system is directly introduced to approximate the uncertainty and unknown control directions and the adaptive distributed controller with preview information is put forward. The designed controller can drive all the states of followers to converge to a small neighbourhood of the leader's state. In addition, all the states of followers remain bounded. Finally, the results of simulations can display the effectiveness of the presented algorithms. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Transactions of the Institute of Measurement & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=146597292
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/0142331220933773
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 2941
    Subjects:
      – SubjectFull: Multiagent systems
        Type: general
      – SubjectFull: Adaptive fuzzy control
        Type: general
      – SubjectFull: Nonlinear systems
        Type: general
      – SubjectFull: Fuzzy logic
        Type: general
      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Nonlinear equations
        Type: general
    Titles:
      – TitleFull: Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ren, Chang-E
      – PersonEntity:
          Name:
            NameFull: Chen, CL Philip
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 01423312
          Numbering:
            – Type: volume
              Value: 42
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Transactions of the Institute of Measurement & Control
              Type: main
ResultId 1