Multiple model predictive control of a styrene polymerization process

Novák, Jakub; Chalupa, Petr

dc.title	Multiple model predictive control of a styrene polymerization process	en
dc.contributor.author	Novák, Jakub
dc.contributor.author	Chalupa, Petr
dc.relation.ispartof	Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn	2194-5365 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-642-33226-5
dc.identifier.isbn	978-3-642-33227-2
dc.date.issued	2013
utb.relation.volume	192
dc.citation.spage	143
dc.citation.epage	152
dc.event.title	Nostradamus Conference
dc.event.location	Ostrava
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2012-09
dc.event.edate	2012-09
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer-Verlag Berlin	en
dc.identifier.doi	10.1007/978-3-642-33227-2_17
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-642-33227-2_17
dc.description.abstract	In this paper, multiple piecewise linearizations of a nonlinear process in different operating points are used within a Kalman filter bank which computes the conditional probabilities of various hypotheses that are modeled by the filters. State estimates provided by the Kalman Filters and local model parameters are weighted using conditional probabilities and then used within the predictive control framework. The proposed strategy is tested on the complex model of styrene polymerization process.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1003138
utb.identifier.obdid	43868655
utb.identifier.scopus	2-s2.0-84874629862
utb.identifier.wok	000313767300017
utb.source	d-wok
dc.date.accessioned	2013-02-24T06:52:21Z
dc.date.available	2013-02-24T06:52:21Z
utb.contributor.internalauthor	Novák, Jakub
utb.contributor.internalauthor	Chalupa, Petr
utb.fulltext.affiliation	Jakub Novák and Petr Chalupa Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {jnovak,chalupa}@fai.utb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.