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Recursive identification algorithms library in Matlab & Simulink

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dc.title Recursive identification algorithms library in Matlab & Simulink en
dc.contributor.author Navrátil, Petr
dc.contributor.author Ivanka, Ján
dc.relation.ispartof Vibration Problems, ICOVP 2011, Supplement
dc.identifier.isbn 978-80-7372-759-8
dc.date.issued 2011
dc.citation.spage 296
dc.citation.epage 301
dc.event.title 10th Biennial International Conference on Vibration Problems (ICOVP)
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2011-09-05
dc.event.edate 2011-09-08
dc.type conferenceObject
dc.language.iso en
dc.publisher Technical University Liberec
dc.subject Recursive estimation en
dc.subject ARX model en
dc.subject ARMAX model en
dc.subject forgetting factors en
dc.description.abstract This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic models ARX, ARMAX and OE. Several recursive identification methods were implemented in this library: Least Squares Method (RLS), Recursive Leaky Incremental Estimation (RUE), Damped Least Squares (DLS), Adaptive Control with Selective Memory (ACSM), Instrumental Variable Method (RIV), Extended Least Squares Method (RELS), Prediction Error Method (RPEM) and Extended Instrumental Variable Method (ERIV). To cope with tracking the time-variant parameters several forgetting factor and modification of basic algorithm are taken into consideration. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007338
utb.identifier.obdid 43866023
utb.identifier.scopus 2-s2.0-84904278920
utb.identifier.wok 000393361600044
utb.source d-wok
dc.date.accessioned 2017-09-08T12:14:42Z
dc.date.available 2017-09-08T12:14:42Z
dc.description.sponsorship MSM [7088352101]
utb.contributor.internalauthor Navrátil, Petr
utb.contributor.internalauthor Ivanka, Ján
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