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  • Most of the processes in the industry have nonlinear behavior. Control of such processes with conventional control methods could lead to unstable, suboptimal, etc., results. On the other hand, the adaptive control is a technique widely used for controlling of nonlinear systems. The approach here is based on the recursive identification of the external linear model as a linear representation of the originally nonlinear system. The controller then reacts to the change of the working point or disturbances which could occur by the change of the parameters, structure, etc. The polynomial synthesis together with the linear quadratic (LQ) approach is employed here for the controller synthesis. These techniques satisfy basic control requirements such as the stability, the reference signal tracking and the disturbance attenuation. Resulted controller could be tuned with the choice of weighting factors in LQ approach. This work investigates the effect of these factors on control results. Proposed methods are tested on the mathematical model of the isothermal continuous stirred-tank reactor and simulated results are also verified on the real model of the continuous stirred tank reactor.
  • Most of the processes in the industry have nonlinear behavior. Control of such processes with conventional control methods could lead to unstable, suboptimal, etc., results. On the other hand, the adaptive control is a technique widely used for controlling of nonlinear systems. The approach here is based on the recursive identification of the external linear model as a linear representation of the originally nonlinear system. The controller then reacts to the change of the working point or disturbances which could occur by the change of the parameters, structure, etc. The polynomial synthesis together with the linear quadratic (LQ) approach is employed here for the controller synthesis. These techniques satisfy basic control requirements such as the stability, the reference signal tracking and the disturbance attenuation. Resulted controller could be tuned with the choice of weighting factors in LQ approach. This work investigates the effect of these factors on control results. Proposed methods are tested on the mathematical model of the isothermal continuous stirred-tank reactor and simulated results are also verified on the real model of the continuous stirred tank reactor. (en)
Title
  • Optimal choice of weighting factors in adaptive linear quadratic control
  • Optimal choice of weighting factors in adaptive linear quadratic control (en)
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  • Optimal choice of weighting factors in adaptive linear quadratic control
  • Optimal choice of weighting factors in adaptive linear quadratic control (en)
skos:notation
  • RIV/70883521:28140/14:43871585!RIV15-MSM-28140___
http://linked.open...avai/riv/aktivita
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  • V
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  • 3
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  • 34793
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  • RIV/70883521:28140/14:43871585
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  • adaptive control||continuous stirred-tank reactor (CSTR)||linear quadratic (LQ) approach||recursive identification||Simulation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CN - Čínská lidová republika
http://linked.open...ontrolniKodProRIV
  • [F590300E890B]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Automation and Computing
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 11
http://linked.open...iv/tvurceVysledku
  • Dostál, Petr
  • Vojtěšek, Jiří
issn
  • 1476-8186
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/s11633-014-0786-5
http://localhost/t...ganizacniJednotka
  • 28140
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