About: Modelling and Predictive control of a Nonlinear System Using Local Model Network

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this work the optimization of the local model network structure and predictive control that utilize the local model network to predict the future response of a plant 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 manipulated variable adjustments are computed through optimization at each sampling interval. The parameters of the plant at each sampling point are derived from the linearization of local model network. The proposed identification and control method is illustrated by the simulation study on the nonlinear process. In this work the optimization of the local model network structure and predictive control that utilize the local model network to predict the future response of a plant 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 manipulated variable adjustments are computed through optimization at each sampling interval. The parameters of the plant at each sampling point are derived from the linearization of local model network. The proposed identification and control method is illustrated by the simulation study on the nonlinear process. (en)
Title	Modelling and Predictive control of a Nonlinear System Using Local Model Network Modelling and Predictive control of a Nonlinear System Using Local Model Network (en)
skos:prefLabel	Modelling and Predictive control of a Nonlinear System Using Local Model Network Modelling and Predictive control of a Nonlinear System Using Local Model Network (en)
skos:notation	RIV/70883521:28140/11:43865507!RIV12-GA0-28140___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GP102/09/P243)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Novák, Jakub Chalupa, Petr Bobál, Vladimír
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	213047
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/11:43865507
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fuzzy modeling, nonlinear models, neural networks, least-squares identification, predictive control (en)
http://linked.open.../riv/klicoveSlovo	predictive control fuzzy modeling least-squares identification nonlinear models neural networks
http://linked.open...ontrolniKodProRIV	[642A4451D8EF]
http://linked.open...v/mistoKonaniAkce	Milano
http://linked.open...i/riv/mistoVydani	Bologna
http://linked.open...i/riv/nazevZdroje	Proceeding of the 18th IFAC World Congress
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Nonlinear System Predictive Control using Local Model Networks
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Bobál, Vladimír Chalupa, Petr Novák, Jakub
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-08-28 (xsd:date)
issn	1474-6670
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IFAC
https://schema.org/isbn	978-3-902661-93-7
http://localhost/t...ganizacniJednotka	28140

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