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Description
| - Článek se zabývá možnostmi použití neuronových sítí v prediktivních řídicích algoritmech. (cs)
- This paper presents a solution to computation of predictive control using non-linear auto-regressive models. For the non-linear model a neural network is used as a perspective tool for modelling of dynamic systems. However, the described approach is applicable to any type of auto-regressive model. The model is not linearized in the operating point, but in each control optimization step the model's derivative is computed (linearization) for all points in the prediction horizon. The method can be usedd in real-time control. This is verified by porting the algorithm directly to the PLC.
- This paper presents a solution to computation of predictive control using non-linear auto-regressive models. For the non-linear model a neural network is used as a perspective tool for modelling of dynamic systems. However, the described approach is applicable to any type of auto-regressive model. The model is not linearized in the operating point, but in each control optimization step the model's derivative is computed (linearization) for all points in the prediction horizon. The method can be usedd in real-time control. This is verified by porting the algorithm directly to the PLC. (en)
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Title
| - Generalized Predictive Control with a Non-linear Autoregressive Model
- Generalized Predictive Control with a Non-linear Autoregressive Model (en)
- Prediktivní řízení s nelineárním autoregresivním modelem. (cs)
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skos:prefLabel
| - Generalized Predictive Control with a Non-linear Autoregressive Model
- Generalized Predictive Control with a Non-linear Autoregressive Model (en)
- Prediktivní řízení s nelineárním autoregresivním modelem. (cs)
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skos:notation
| - RIV/00216305:26220/05:PU50363!RIV06-MSM-26220___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/05:PU50363
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Neural network, Non-linear Modelling, Predictive control (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - WSEAS Transactions on Circuits
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Pivoňka, Petr
- Schmidt, Michal
- Nepevný, Petr
- Vychodil, Hynek
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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