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rdf:type
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Description
| - The problem of estimating parameters of linear models from noisy time series measurements of continuous dynamical systems is considered. Additional prior information (grey box) is used to improve the quality of the estimate, which can be useful, when obtaining sufficiently excited input/output experiment data is impracticable or costly. The problem is solved with respect to optimal multistep prediction for better performance in advanced control (model predictive control). This leads to a nonconvex numerical optimization, where the solver can easily run out in one of the many local extremes. Two approaches, how to improve the convergence, are introduced. Finally an example of identification for combustion control, based on real power plant data, is presented.
- The problem of estimating parameters of linear models from noisy time series measurements of continuous dynamical systems is considered. Additional prior information (grey box) is used to improve the quality of the estimate, which can be useful, when obtaining sufficiently excited input/output experiment data is impracticable or costly. The problem is solved with respect to optimal multistep prediction for better performance in advanced control (model predictive control). This leads to a nonconvex numerical optimization, where the solver can easily run out in one of the many local extremes. Two approaches, how to improve the convergence, are introduced. Finally an example of identification for combustion control, based on real power plant data, is presented. (en)
- The problem of estimating parameters of linear models from noisy time series measurements of continuous dynamical systems is considered. Additional prior information (grey box) is used to improve the quality of the estimate, which can be useful, when obtaining sufficiently excited input/output experiment data is impracticable or costly. The problem is solved with respect to optimal multistep prediction for better performance in advanced control (model predictive control). This leads to a nonconvex numerical optimization, where the solver can easily run out in one of the many local extremes. Two approaches, how to improve the convergence, are introduced. Finally an example of identification for combustion control, based on real power plant data, is presented. (cs)
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Title
| - Identifikace grey-box modelu s praktickou aplikací v průmyslu a energetice
- Identifikace grey-box modelu s praktickou aplikací v průmyslu a energetice (cs)
- Grey box model identification with practical application to combustion control (en)
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skos:prefLabel
| - Identifikace grey-box modelu s praktickou aplikací v průmyslu a energetice
- Identifikace grey-box modelu s praktickou aplikací v průmyslu a energetice (cs)
- Grey box model identification with practical application to combustion control (en)
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skos:notation
| - RIV/68407700:21230/09:00158517!RIV10-GA0-21230___
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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...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/68407700:21230/09:00158517
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - System identification; grey box model; nonlinear least squares; Maximum likelihood (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
| - Stará Lesná, Vysoké Tatry
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Identifikace grey-box modelu s praktickou aplikací v průmyslu a energetice
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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...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Havlena, Vladimír
- Řehoř, Jiří
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Technická univerzita v Košiciach
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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