Zobrazit v EDS

System Identification Beyond the Nyquist Frequency:A Kernel-Regularized Approach

Uloženo v:
Podrobná bibliografie
Název: System Identification Beyond the Nyquist Frequency:A Kernel-Regularized Approach
Autoři: van Haren, Max, Smith, Roy S., Oomen, Tom A.E.
Zdroj: van Haren, M, Smith, R S & Oomen, T A E 2025, 'System Identification Beyond the Nyquist Frequency : A Kernel-Regularized Approach', Control Engineering Practice, vol. 164, 106425. https://doi.org/10.1016/j.conengprac.2025.106425
Rok vydání: 2025
Témata: system identification, Kernel-regularized estimation, multirate, sampled-data systems, frequency response function (FRF), Frequency response functions
Popis: Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique for fast-rate models of systems where only slow-rate output measurements are available, e.g., vision-in-the-loop systems. In this paper, the intersample response is estimated by identifying fast-rate models through least-squares criteria, and the limitations of these models are determined. In addition, a method is developed that surpasses these limitations and is capable of estimating unique fast-rate models of arbitrary order by regularizing the least-squares estimate. The developed method utilizes fast-rate inputs and slow-rate output measurements and identifies fast-rate models accurately in a single identification experiment. Finally, both simulation and experimental validation on a prototype wafer stage demonstrate the effectiveness of the framework.
Druh dokumentu: article in journal/newspaper
Popis souboru: application/pdf
Jazyk: English
Relation: info:eu-repo/semantics/altIdentifier/pissn/0967-0661
DOI: 10.1016/j.conengprac.2025.106425
Dostupnost: https://research.tue.nl/en/publications/388d7124-2c9a-49b5-81ee-d8eb5342dd2f
https://doi.org/10.1016/j.conengprac.2025.106425
https://pure.tue.nl/ws/files/360474542/SlowSampledTimeDomainFIR.pdf
https://pure.tue.nl/ws/files/360545945/1-s2.0-S0967066125001881-main.pdf
https://www.scopus.com/pages/publications/105007799790
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; http://creativecommons.org/licenses/by/4.0/
Přístupové číslo: edsbas.34CEF18B
Databáze: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.tue.nl/en/publications/388d7124-2c9a-49b5-81ee-d8eb5342dd2f#
    Name: EDS - BASE (s4221598)
    Category: fullText
    Text: View record from BASE
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=van%20Haren%20M
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsbas
DbLabel: BASE
An: edsbas.34CEF18B
RelevancyScore: 1009
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1009.3056640625
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: System Identification Beyond the Nyquist Frequency:A Kernel-Regularized Approach
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22van+Haren%2C+Max%22">van Haren, Max</searchLink><br /><searchLink fieldCode="AR" term="%22Smith%2C+Roy+S%2E%22">Smith, Roy S.</searchLink><br /><searchLink fieldCode="AR" term="%22Oomen%2C+Tom+A%2EE%2E%22">Oomen, Tom A.E.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: van Haren, M, Smith, R S & Oomen, T A E 2025, 'System Identification Beyond the Nyquist Frequency : A Kernel-Regularized Approach', Control Engineering Practice, vol. 164, 106425. https://doi.org/10.1016/j.conengprac.2025.106425
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2025
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22system+identification%22">system identification</searchLink><br /><searchLink fieldCode="DE" term="%22Kernel-regularized+estimation%22">Kernel-regularized estimation</searchLink><br /><searchLink fieldCode="DE" term="%22multirate%22">multirate</searchLink><br /><searchLink fieldCode="DE" term="%22sampled-data+systems%22">sampled-data systems</searchLink><br /><searchLink fieldCode="DE" term="%22frequency+response+function+%28FRF%29%22">frequency response function (FRF)</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+response+functions%22">Frequency response functions</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique for fast-rate models of systems where only slow-rate output measurements are available, e.g., vision-in-the-loop systems. In this paper, the intersample response is estimated by identifying fast-rate models through least-squares criteria, and the limitations of these models are determined. In addition, a method is developed that surpasses these limitations and is capable of estimating unique fast-rate models of arbitrary order by regularizing the least-squares estimate. The developed method utilizes fast-rate inputs and slow-rate output measurements and identifies fast-rate models accurately in a single identification experiment. Finally, both simulation and experimental validation on a prototype wafer stage demonstrate the effectiveness of the framework.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: application/pdf
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: info:eu-repo/semantics/altIdentifier/pissn/0967-0661
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1016/j.conengprac.2025.106425
– Name: URL
  Label: Availability
  Group: URL
  Data: https://research.tue.nl/en/publications/388d7124-2c9a-49b5-81ee-d8eb5342dd2f<br />https://doi.org/10.1016/j.conengprac.2025.106425<br />https://pure.tue.nl/ws/files/360474542/SlowSampledTimeDomainFIR.pdf<br />https://pure.tue.nl/ws/files/360545945/1-s2.0-S0967066125001881-main.pdf<br />https://www.scopus.com/pages/publications/105007799790
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; http://creativecommons.org/licenses/by/4.0/
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.34CEF18B
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.34CEF18B
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.conengprac.2025.106425
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: system identification
        Type: general
      – SubjectFull: Kernel-regularized estimation
        Type: general
      – SubjectFull: multirate
        Type: general
      – SubjectFull: sampled-data systems
        Type: general
      – SubjectFull: frequency response function (FRF)
        Type: general
      – SubjectFull: Frequency response functions
        Type: general
    Titles:
      – TitleFull: System Identification Beyond the Nyquist Frequency:A Kernel-Regularized Approach
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: van Haren, Max
      – PersonEntity:
          Name:
            NameFull: Smith, Roy S.
      – PersonEntity:
          Name:
            NameFull: Oomen, Tom A.E.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
          Titles:
            – TitleFull: van Haren, M, Smith, R S & Oomen, T A E 2025, 'System Identification Beyond the Nyquist Frequency : A Kernel-Regularized Approach', Control Engineering Practice, vol. 164, 106425. https://doi.org/10.1016/j.conengprac.2025.106425
              Type: main
ResultId 1