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Self-tuning predictive control of a coupled drives process

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dc.title Self-tuning predictive control of a coupled drives process en
dc.contributor.author Kubalčík, Marek
dc.contributor.author Bobál, Vladimír
dc.relation.ispartof International Journal of Mathematical Models and Methods in Applied Sciences
dc.identifier.issn 1998-0140 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2013
utb.relation.volume 7
utb.relation.issue 10
dc.citation.spage 863
dc.citation.epage 870
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN) en
dc.relation.uri http://www.naun.org/cms.action?id=5358
dc.subject Adaptive control en
dc.subject Multivariable systems en
dc.subject Nonlinear systems en
dc.subject Predictive control en
dc.subject Recursive identification en
dc.description.abstract This paper is focused on an application of a self - tuning predictive controller for real - time control of a coupled drives apparatus laboratory model, which models a multivariable non-linear system. The controller integrates an on - line identification of an ARX model of a controlled system and a predictive control synthesis on the basis of the identified parameters. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based on a multivariable CARIMA model. Results of real-time experiments are also included. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003552
utb.identifier.obdid 43870262
utb.identifier.scopus 2-s2.0-84886662265
utb.source j-scopus
dc.date.accessioned 2013-11-29T09:49:05Z
dc.date.available 2013-11-29T09:49:05Z
utb.contributor.internalauthor Kubalčík, Marek
utb.contributor.internalauthor Bobál, Vladimír
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