About: MIMO Model Predictive Control with local linear models

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The performance of a Model Predictive Control (MPC) algorithm depends on the quality of the derived model. Using a divide-and-conquer strategy process operations were partitioned into several operating regions and within each region, a local linear model was developed to model the process. This set of locally linearized models was simply and effectively combined into a global description of a multivariable nonlinear plant. To save on computational load, a linear model was obtained by interpolating these linear models at each sample point and then this linearized model was used in a Generalized Predictive Control (GPC) framework to calculate the future behavior of the process. Thus, time-consuming nonlinear quadratic optimization calculations, which are normally necessary in nonlinear predictive control, can be avoided. Modeling and controller design procedure was demonstrated using a simulated pH neutralization process with two inputs and two outputs. The performance of a Model Predictive Control (MPC) algorithm depends on the quality of the derived model. Using a divide-and-conquer strategy process operations were partitioned into several operating regions and within each region, a local linear model was developed to model the process. This set of locally linearized models was simply and effectively combined into a global description of a multivariable nonlinear plant. To save on computational load, a linear model was obtained by interpolating these linear models at each sample point and then this linearized model was used in a Generalized Predictive Control (GPC) framework to calculate the future behavior of the process. Thus, time-consuming nonlinear quadratic optimization calculations, which are normally necessary in nonlinear predictive control, can be avoided. Modeling and controller design procedure was demonstrated using a simulated pH neutralization process with two inputs and two outputs. (en)
Title	MIMO Model Predictive Control with local linear models MIMO Model Predictive Control with local linear models (en)
skos:prefLabel	MIMO Model Predictive Control with local linear models MIMO Model Predictive Control with local linear models (en)
skos:notation	RIV/70883521:28140/11:43865496!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	212565
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/11:43865496
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Predictive control, pH neutralization, local model networks, multiple models, linearization (en)
http://linked.open.../riv/klicoveSlovo	Predictive control linearization local model networks multiple models pH neutralization
http://linked.open...ontrolniKodProRIV	[F1653169A124]
http://linked.open...v/mistoKonaniAkce	Lanzarote
http://linked.open...i/riv/mistoVydani	Lanzarote
http://linked.open...i/riv/nazevZdroje	Recent Researches in Automatic Control
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	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2011-05-27 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	WSEAS Press
https://schema.org/isbn	978-1-61804-004-6
http://localhost/t...ganizacniJednotka	28140

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