Estimation of Model Uncertainties in Closed-loop Systems

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2008

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This paper describe a method for estimation of parameters or uncertainties in closed-loop systems. The method is based on an application of the dual YJBK (after Youla, Jabr, Bongiorno and Kucera) parameterization of all systems stabilized by a given controller. The dual YJBK transfer function is a measure for the variation in the system seen through the feedback controller. It is shown that it is possible to isolate a certain number of parameters or uncertain blocks in the system exactly. This is obtained by modifying the feedback controller through the YJBK transfer function together with pre- and post-filters. The estimation is then derived using standard methods.
Original languageEnglish
TitleEstimation of Model Uncertainities in Closed-loop Systems
Place of publicationWashington
PublisherAmerican Control Conference
Publication date2008
Pages5186-5191
ISBN (print)978-1-4244-2078-0
DOIs
StatePublished

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ConferenceEstimation of Model Uncertainties in Closed-loop Systems
Period01/01/08 → …

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Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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