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  • Hjalmarsson, Håkan,1962-Linköpings universitet,Reglerteknik,Tekniska högskolan,Department of Electrical Engineering, Linköping University,Reglerteknik, Automatic Control (author)

Composite modeling of transfer functions

  • Article/chapterEnglish1995

Publisher, publication year, extent ...

  • New Orleans, LA, USA :Institute of Electrical and Electronics Engineers (IEEE),1995
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-60590
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-60590URI
  • https://doi.org/10.1109/CDC.1995.478683DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-60591URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55282URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56346URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93740URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Series

  • LiTH-ISY-R,1400-3902 ;1791

Notes

  • Sponsors: IEEE NR 20140805
  • NR 20140805
  • The problem under consideration is how to estimate the frequency function of a system and the associated estimation error when a set of possible model structures is given and when one of them is known to contain the true system. The 'classical' solution to this problem is to, firstly, use a consistent model structure selection criterium to discard all but one single structure. Secondly, estimate a model in this structure and, thirdly, conditioned on the assumption that the chosen structure contains the true system, compute an estimate of the estimation error. However, for a finite data set one cannot guarantee that the correct structure is chosen and this 'structural' uncertainty is lost in the previously mentioned approach. In this contribution a method is developed that combines the frequency function estimates and the estimation errors from all possible structures into a joint estimate and estimation error. Hence, this approach by-passes the structure selection problem. This is accomplished by employing a Bayesian setting.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Gustafsson, Fredrik,1964-Linköpings universitet,Reglerteknik,Tekniska högskolan,Department of Electrical Engineering, Linköping University,Reglerteknik, Automatic Control(Swepub:liu)fregu23 (author)
  • Linköpings universitetReglerteknik (creator_code:org_t)

Related titles

  • In:Proceedings of the IEEE Conference on Decision and ControlNew Orleans, LA, USA : Institute of Electrical and Electronics Engineers (IEEE)40:5, s. 820-8320780326857
  • In:IEEE Transactions on Automatic ControlNew Orleans, LA, USA : Institute of Electrical and Electronics Engineers (IEEE)40:5, s. 820-8320018-92861558-2523

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