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Continuous-time self-tuning controller using delta model identification

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dc.title Continuous-time self-tuning controller using delta model identification en
dc.contributor.author Bobál, Vladimír
dc.contributor.author Sysel, Martin
dc.contributor.author Dostál, Petr
dc.relation.ispartof 2001 European Control Conference, ECC 2001
dc.identifier.isbn 978-395241736-2
dc.date.issued 2001
dc.citation.spage 1798
dc.citation.epage 1802
dc.event.title 6th European Control Conference, ECC 2001
dc.event.location Porto
utb.event.state-en Portugal
utb.event.state-cs Portugalsko
dc.event.sdate 2001-09-04
dc.event.edate 2001-09-07
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.identifier.doi 10.23919/ECC.2001.7076182
dc.relation.uri https://ieeexplore.ieee.org/document/7076182?arnumber=7076182
dc.subject Adaptive control en
dc.subject continuous-time control en
dc.subject pole assignment en
dc.subject recursive identification en
dc.subject δ-model en
dc.description.abstract This contribution presents the application of self-tuning continuous - time controller for process control modelled by S - models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with applied directional forgetting. The basic RLSM algorithm has been modified for the δ- model structures. Controller synthesis is designed on the basis of the pole placement method (a couple double real poles in s - plane has been chosen in the characteristic polynomial). This continuous - time controller is based on the fact that the δ - parameter estimates have excellent convergence and over a short sampling period converge to their continuous versions. The advantage of this approach is that in the identification part of the self - tuning algorithm is not necessary to use computation the parameter estimates of the differential equation using the state variable filter. Choice of initial parameter estimates does not make problems, too. © 2001 EUCA. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005774
utb.identifier.obdid 11051937
utb.identifier.scopus 2-s2.0-84947466259
utb.source d-scopus
dc.date.accessioned 2016-01-15T10:59:51Z
dc.date.available 2016-01-15T10:59:51Z
utb.contributor.internalauthor Bobál, Vladimír
utb.contributor.internalauthor Sysel, Martin
utb.contributor.internalauthor Dostál, Petr
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