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  • The requirement for improved efficiency and safety induce the need for sophisticated control systems. Model predictive control represents such control method which makes explicit use of a model of the process to obtain the control signal. The performance of control algorithm depends on the quality of the derived model. A possible approach is to decompose the nonlinear dynamics into multiple linear models and switch or interpolate them based on the current operating conditions. Multiple models structure for modeling and control allow the transfer of many methods from the linear control theory to the nonlinear systems. The process operations are partitioned into several operating regions and within each region, a local linear model is developed to approximate the process. To save on computational load, a linear model is obtained by interpolating these linear models at each sample point and then obtained model is used in a Generalized Predictive Control (GPC) framework.
  • The requirement for improved efficiency and safety induce the need for sophisticated control systems. Model predictive control represents such control method which makes explicit use of a model of the process to obtain the control signal. The performance of control algorithm depends on the quality of the derived model. A possible approach is to decompose the nonlinear dynamics into multiple linear models and switch or interpolate them based on the current operating conditions. Multiple models structure for modeling and control allow the transfer of many methods from the linear control theory to the nonlinear systems. The process operations are partitioned into several operating regions and within each region, a local linear model is developed to approximate the process. To save on computational load, a linear model is obtained by interpolating these linear models at each sample point and then obtained model is used in a Generalized Predictive Control (GPC) framework. (en)
Title
  • Multiple model modeling and predictive control of the pH neutralization process
  • Multiple model modeling and predictive control of the pH neutralization process (en)
skos:prefLabel
  • Multiple model modeling and predictive control of the pH neutralization process
  • Multiple model modeling and predictive control of the pH neutralization process (en)
skos:notation
  • RIV/70883521:28140/11:43865498!RIV12-GA0-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/09/P243)
http://linked.open...iv/cisloPeriodika
  • 7
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
  • 214313
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/11:43865498
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Predictive control; Optimization; Nonlinear control; Multiple models; Fuzzy modeling; Clustering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [F3C1B25B31D0]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Mathematical Models and Methods in Applied Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 5
http://linked.open...iv/tvurceVysledku
  • Bobál, Vladimír
  • Chalupa, Petr
  • Novák, Jakub
issn
  • 1998-0140
number of pages
http://localhost/t...ganizacniJednotka
  • 28140
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