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Description
  • Článek se zabývá odhadem stavu nelineárních negaussovských stochastických systémů a zaměřuje se na sekvenční metodu Monte Carlo, která poskytuje hustotu pravděpodobnosti stavu podmíněnou měřením. Tato metoda je oblíbeným nástrojem pro odhad stavu již od devadesátých let dvacátého století a představuje alternativu pro standardní numerické metody pro řešení Bayesových rekurzivních vztahů. Ačkoliv základní myšlenka metody je velice jednoduchá, před vlastní aplikací metody je nutné specifikovat několik důležitých parametrů. Tudíž cílem článku je poskytnout přehled a doporučení pro nastavení těchto parametrů. (cs)
  • The paper deals with state estimation of nonlinear non-Gaussian stochastic systems and focuses on the sequential Monte Carlo method for computation of probability density function of the state conditioned by the measurement. The method has become a popular tool for state estimation since the 1990's and represents an alternative to the standard numerical methods for solution of the Bayesian recursive relations. Although the idea of the method is very simple, there are many issues necessary to be specified before application of the method. Therefore, the goal of the paper is to provide a survey and recommendation for these specifications.
  • The paper deals with state estimation of nonlinear non-Gaussian stochastic systems and focuses on the sequential Monte Carlo method for computation of probability density function of the state conditioned by the measurement. The method has become a popular tool for state estimation since the 1990's and represents an alternative to the standard numerical methods for solution of the Bayesian recursive relations. Although the idea of the method is very simple, there are many issues necessary to be specified before application of the method. Therefore, the goal of the paper is to provide a survey and recommendation for these specifications. (en)
Title
  • Sequential Monte Carlo Method For State Estimation Of Nonlinear Non-Gaussian Systems
  • Sekvenční metoda Monte Carlo v úloze odhadu stavu nelineárních nagaussovských systémů (cs)
  • Sequential Monte Carlo Method For State Estimation Of Nonlinear Non-Gaussian Systems (en)
skos:prefLabel
  • Sequential Monte Carlo Method For State Estimation Of Nonlinear Non-Gaussian Systems
  • Sekvenční metoda Monte Carlo v úloze odhadu stavu nelineárních nagaussovských systémů (cs)
  • Sequential Monte Carlo Method For State Estimation Of Nonlinear Non-Gaussian Systems (en)
skos:notation
  • RIV/49777513:23520/08:00500536!RIV09-MSM-23520___
http://linked.open...avai/riv/aktivita
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  • P(1M0572)
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  • 394468
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  • RIV/49777513:23520/08:00500536
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  • nonlinear state estimation; nonlinear systems; Monte Carlo method; particle filter; sample size; sampling density; resampling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [621E1CFFDAE4]
http://linked.open...v/mistoKonaniAkce
  • Čeladná
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  • Ostrava
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  • Současné trendy v technické kybernetice
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http://linked.open...iv/tvurceVysledku
  • Straka, Ondřej
  • Šimandl, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 978-80-248-1812-2
http://localhost/t...ganizacniJednotka
  • 23520
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