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  • The term predictive control designates a class of control methods which are suitable for control of various kinds of systems. Predictive control is essentially based on discrete or sampled models of a process. It is possible to use various models which describe a real system sufficiently accurately. The model is used for computation of predictions of the systems output. On the basis of the predictions and past values of the input and output of the system we can optimize the control process. A cost function which is optimized is a function of difference of the manipulated variable. An analytical solution can be obtained by differentiation of the cost function. One of the major advantages of predictive control is its ability to do on-line constraints handling in a systematic way. For a constrained case the analytical solution may not be located in an allowed area and we need to use another way of optimization. The optimization problem is necessary to be solved in each sampling period, which is computationally demanding. Various kinds of optimization algorithm can be used. The contribution is focused on an analysis of the cost function and effects of constraints to an allowed area. The analysis can help with choosing of suitable methods and algorithms.
  • The term predictive control designates a class of control methods which are suitable for control of various kinds of systems. Predictive control is essentially based on discrete or sampled models of a process. It is possible to use various models which describe a real system sufficiently accurately. The model is used for computation of predictions of the systems output. On the basis of the predictions and past values of the input and output of the system we can optimize the control process. A cost function which is optimized is a function of difference of the manipulated variable. An analytical solution can be obtained by differentiation of the cost function. One of the major advantages of predictive control is its ability to do on-line constraints handling in a systematic way. For a constrained case the analytical solution may not be located in an allowed area and we need to use another way of optimization. The optimization problem is necessary to be solved in each sampling period, which is computationally demanding. Various kinds of optimization algorithm can be used. The contribution is focused on an analysis of the cost function and effects of constraints to an allowed area. The analysis can help with choosing of suitable methods and algorithms. (en)
Title
  • Optimization in Predictive Control Algorithm
  • Optimization in Predictive Control Algorithm (en)
skos:prefLabel
  • Optimization in Predictive Control Algorithm
  • Optimization in Predictive Control Algorithm (en)
skos:notation
  • RIV/70883521:28140/14:43872377!RIV15-MSM-28140___
http://linked.open...avai/riv/aktivita
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  • S
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  • 34936
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/14:43872377
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  • predictive control, cost function, constraints, optimization, simulation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8951774E2A5F]
http://linked.open...v/mistoKonaniAkce
  • Salerno
http://linked.open...i/riv/mistoVydani
  • Venice
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 5th International Conference on Circuits, Systems, Control, Signals (CSCS '14)
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kubalčík, Marek
  • Antoš, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1790-5117
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS Press (IT)
https://schema.org/isbn
  • 978-960-474-374-2
http://localhost/t...ganizacniJednotka
  • 28140
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