View in EDS

Nonlinear extremum seeking inspired on second order sliding modes.

Saved in:
Bibliographic Details
Title: Nonlinear extremum seeking inspired on second order sliding modes.
Authors: Angulo, Marco Tulio1,2 darkbyte@gmail.com
Source: Automatica. Jul2015, Vol. 57, p51-55. 5p.
Subjects: Nonlinear systems, Variational principles, Sliding mode control, Observability (Control theory), Biological systems
Abstract: We present a new Extremum Seeking algorithm that uses Super-Twisting like nonlinear terms in order to improve its precision. In addition, the algorithm is combined with Second Order Sliding Mode observers to build an optimization framework for uncertain dynamic systems in which the variable to optimize is not measured and needs to be estimated. The relevance of the proposed framework is illustrated in the problem of biomass optimization of a biological reactor with uncertain kinetics. [ABSTRACT FROM AUTHOR]
Copyright of Automatica is the property of Pergamon Press - An Imprint of Elsevier Science 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: 102919651
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Nonlinear extremum seeking inspired on second order sliding modes.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Angulo%2C+Marco+Tulio%22">Angulo, Marco Tulio</searchLink><relatesTo>1,2</relatesTo><i> darkbyte@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Automatica%22">Automatica</searchLink>. Jul2015, Vol. 57, p51-55. 5p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Variational+principles%22">Variational principles</searchLink><br /><searchLink fieldCode="DE" term="%22Sliding+mode+control%22">Sliding mode control</searchLink><br /><searchLink fieldCode="DE" term="%22Observability+%28Control+theory%29%22">Observability (Control theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+systems%22">Biological systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We present a new Extremum Seeking algorithm that uses Super-Twisting like nonlinear terms in order to improve its precision. In addition, the algorithm is combined with Second Order Sliding Mode observers to build an optimization framework for uncertain dynamic systems in which the variable to optimize is not measured and needs to be estimated. The relevance of the proposed framework is illustrated in the problem of biomass optimization of a biological reactor with uncertain kinetics. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Automatica is the property of Pergamon Press - An Imprint of Elsevier Science 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=102919651
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.automatica.2015.04.001
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 5
        StartPage: 51
    Subjects:
      – SubjectFull: Nonlinear systems
        Type: general
      – SubjectFull: Variational principles
        Type: general
      – SubjectFull: Sliding mode control
        Type: general
      – SubjectFull: Observability (Control theory)
        Type: general
      – SubjectFull: Biological systems
        Type: general
    Titles:
      – TitleFull: Nonlinear extremum seeking inspired on second order sliding modes.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Angulo, Marco Tulio
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 00051098
          Numbering:
            – Type: volume
              Value: 57
          Titles:
            – TitleFull: Automatica
              Type: main
ResultId 1