About: Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. 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 controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. Results of real-time experiments are also included. This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. 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 controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. Results of real-time experiments are also included. (en)
Title	Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models (en)
skos:prefLabel	Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models (en)
skos:notation	RIV/70883521:28140/12:43869085!RIV13-MSM-28140___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Kubalčík, Marek 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	121056
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/12:43869085
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	predictive control, adaptive control, state-space model, input-output model, recursive identification, multivariable systems (en)
http://linked.open.../riv/klicoveSlovo	predictive control recursive identification input-output model state-space model multivariable systems adaptive control
http://linked.open...ontrolniKodProRIV	[8FDF509326DE]
http://linked.open...v/mistoKonaniAkce	Sliema
http://linked.open...i/riv/mistoVydani	Sliema
http://linked.open...i/riv/nazevZdroje	Advances in Mathematical and Computational Methods
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Bobál, Vladimír Kubalčík, Marek
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-09-07 (xsd:date)
issn	2227-4588
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	WSEAS
https://schema.org/isbn	978-1-61804-117-3
http://localhost/t...ganizacniJednotka	28140

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