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Identification of local model networks parameters using fuzzy clustering

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dc.title Identification of local model networks parameters using fuzzy clustering en
dc.contributor.author Novák, Jakub
dc.contributor.author Chalupa, Petr
dc.contributor.author Bobál, Vladimír
dc.relation.ispartof IFAC Proceedings Volumes (IFAC-PapersOnline)
dc.identifier.issn 1474-6670 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783902661852
dc.date.issued 2010
utb.relation.volume 1
utb.relation.issue PART 1
dc.citation.spage 265
dc.citation.epage 270
dc.event.title 10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010
dc.event.location Antalya
utb.event.state-en Turkey
utb.event.state-cs Turecko
dc.event.sdate 2010-08-26
dc.event.edate 2010-08-28
dc.type conferenceObject
dc.language.iso en
dc.publisher IFAC Secretariat
dc.identifier.doi 10.3182/20100826-3-TR-4015.00050
dc.relation.uri http://www.ifac-papersonline.net/Detailed/46799.html
dc.subject Fuzzy modeling en
dc.subject Least-squares identification en
dc.subject Neural networks en
dc.subject Nonlinear models en
dc.subject Predictive control en
dc.description.abstract In this work the use of fuzzy clustering for identification of parameters of the local model network (LMN) from input-output data is studied. The main idea is based on development of the local linear models for the whole operating range of the controlled process. The local models are identified from measured data using clustering and local least squares method. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. The parameters for the GPC controller are computed at each sampling interval from the linearization of LMN. The proposed identification and control method is illustrated by the simulation study on the MIMO liquid process. © 2010 IFAC. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004101
utb.identifier.obdid 43863601
utb.identifier.scopus 2-s2.0-84901941402
utb.source d-scopus
dc.date.accessioned 2015-01-15T13:20:27Z
dc.date.available 2015-01-15T13:20:27Z
utb.contributor.internalauthor Novák, Jakub
utb.contributor.internalauthor Chalupa, Petr
utb.contributor.internalauthor Bobál, Vladimír
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