Frequency response model identification method for discrete-time processes with final cyclic-steady-state

  • Kyung Hwan Ryu
  • , Kyung Su Kim
  • , Ho Suk Kang
  • , Si Nae Lee
  • , Jun Young Cho
  • , Ietae Lee
  • , Su Whan Sung

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

1 Scopus citations

Abstract

A new non-parametric process identification method is proposed to obtain the discrete-time frequency response model from process input and output data. Existing discrete-time Fourier transform approach can be applied to only the case that the initial part and the final part of the process data are zero-steady-state. The proposed method using a new transform can estimate the frequency response model from more various cases including initial-steady-state/ final-steady-state and initial-steady-state/final-cyclic-steady-state. It can estimate exact frequency response model because no approximations are used in developing the proposed algorithm. Also, the proposed method can still provide exact model even in the case of static disturbances.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages840-844
Number of pages5
StatePublished - 2012
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 17 Oct 201221 Oct 2012

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
Country/TerritoryKorea, Republic of
CityJeju
Period17/10/1221/10/12

Keywords

  • Cyclic-steady-state
  • Discrete-time
  • Frequency responses
  • Identification
  • z-transform

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