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  • This paper deals with the problem of modelling nonlinear processes using the Local Model Network. The idea of LMN is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid ARX submodels, which are smoothly connected using the validity function. The optimization of the parameters usually involves nonlinear parameter optimization of parameters of validity functions and the least-squares method (LSM) using singular value decomposition (SVD) for linear model estimation. In this paper both the validity function and local models are optimized simultaneous via Self-Organizing Migration Algorithm (SOMA). The potentional of the SOMA algorithm is shown on modelling of the chemical reactor.
  • This paper deals with the problem of modelling nonlinear processes using the Local Model Network. The idea of LMN is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid ARX submodels, which are smoothly connected using the validity function. The optimization of the parameters usually involves nonlinear parameter optimization of parameters of validity functions and the least-squares method (LSM) using singular value decomposition (SVD) for linear model estimation. In this paper both the validity function and local models are optimized simultaneous via Self-Organizing Migration Algorithm (SOMA). The potentional of the SOMA algorithm is shown on modelling of the chemical reactor. (en)
  • Příspěvek se zabývá problémem modelování nelineárních procesů pomocí sítě lokálních moddelů. Nelineární systém je aproximován sadou lokálně platných ARX modelů. Tyto lokální modely jsou spojeny pomocí aktivačních funkcí. Optimalizace parametrů lze rozdělit na dvě části: optimalizaci parametrů aktivačních funkcí a identifikaci parametrů lokálních modelů pomocí singulární dekompozice. V příspěvku je pro odhad všech parametrů současně požito algoritmu SOMA. Potenciál této metody je ukázán na modelu průtočného reaktoru. (cs)
Title
  • Optimization of Local Model Network Parameters
  • Optimalizace parametrů sítě lokálních modelů (cs)
  • Optimization of Local Model Network Parameters (en)
skos:prefLabel
  • Optimization of Local Model Network Parameters
  • Optimalizace parametrů sítě lokálních modelů (cs)
  • Optimization of Local Model Network Parameters (en)
skos:notation
  • RIV/70883521:28140/06:63504378!RIV07-MSM-28140___
http://linked.open.../vavai/riv/strany
  • 117
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 490916
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/06:63504378
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E5487EAAE8AC]
http://linked.open...i/riv/mistoVydani
  • University of Pardubice
http://linked.open...i/riv/nazevZdroje
  • Proceedings The 7th International Scientific - Technical Conference Process Control 2006
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...iv/tvurceVysledku
  • Bobál, Vladimír
  • Novák, Jakub
  • Červenka, Miroslav
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita Pardubice
https://schema.org/isbn
  • 80-7194-860-8
http://localhost/t...ganizacniJednotka
  • 28140
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