About: Adaptive Predictive Control of Three -Tank - System     Goto   Sponge   Distinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper is focused in application of a self - tuning predictive controller 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. The controller 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 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. Results of real-time experiments are also included.
  • This paper is focused in application of a self - tuning predictive controller 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. The controller 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 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. Results of real-time experiments are also included. (en)
Title
  • Adaptive Predictive Control of Three -Tank - System
  • Adaptive Predictive Control of Three -Tank - System (en)
skos:prefLabel
  • Adaptive Predictive Control of Three -Tank - System
  • Adaptive Predictive Control of Three -Tank - System (en)
skos:notation
  • RIV/70883521:28140/10:63508943!RIV11-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM7088352101)
http://linked.open...iv/cisloPeriodika
  • 29
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 245401
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/10:63508943
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Predictive control; adaptive control; multivariable systems; recursive identification; nonlinear systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CA - Kanada
http://linked.open...ontrolniKodProRIV
  • [6AE087F8FA27]
http://linked.open...i/riv/nazevZdroje
  • Modelling, Identification, and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 29
http://linked.open...iv/tvurceVysledku
  • Bobál, Vladimír
  • Kubalčík, Marek
http://linked.open...n/vavai/riv/zamer
issn
  • 1025-8973
number of pages
http://localhost/t...ganizacniJednotka
  • 28140
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software