About: Sampling density design for particle filters     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Článek se zabývá simulačními filtry v úloze odhadu stavu diskrétních dynamických stochastických systémů. Důraz je kladen na návrh vzorkovací hustoty pravděpodobnosti, která je důležitá s ohledem na kvalitu simulačních filtrů. Je navržena nová funkcionální vzorkovací hustota založená na využití přechodové hustoty pravděpodobnosti a hustoty pravděpodobnosti měření. Funkcionální přístup porovnává pomocí Kullbackovy J-divergence dvě hustoty pravděpodobnosti referenční veličiny, získané transformací přechodové hustoty pravděpodobnosti a hustoty pravděpodobnosti měření. Tento přístup k návrhu vzorkovací hustoty pravděpodobnosti lze chápat jako vylepšení návrh (cs)
  • The particle filters for state estimation of discrete time dynamic stochastic systems are treated. The stress is laid on design of sampling pdf which is significant for quality of the particle filters. A new functional sampling density design based on utilization of transition and measurement pdf's is proposed. The functional approach compares two pdf's of a reference variable which are obtained by transformation of the transition and measurement pdf's, using Kullback J-divergence. The functional approach to sampling density function synthesis can be understood as improvement of the sampling density design of the auxiliary particle filter which uses point estimate of the transition pdf only. High quality of the functional particle filter with respect to the bootstrap and the auxiliary particle filter is illustrated in a numerical example.
  • The particle filters for state estimation of discrete time dynamic stochastic systems are treated. The stress is laid on design of sampling pdf which is significant for quality of the particle filters. A new functional sampling density design based on utilization of transition and measurement pdf's is proposed. The functional approach compares two pdf's of a reference variable which are obtained by transformation of the transition and measurement pdf's, using Kullback J-divergence. The functional approach to sampling density function synthesis can be understood as improvement of the sampling density design of the auxiliary particle filter which uses point estimate of the transition pdf only. High quality of the functional particle filter with respect to the bootstrap and the auxiliary particle filter is illustrated in a numerical example. (en)
Title
  • Sampling density design for particle filters
  • Sampling density design for particle filters (en)
  • Vzorkovací hustota pravděpodobnosti simulačních filtrů (cs)
skos:prefLabel
  • Sampling density design for particle filters
  • Sampling density design for particle filters (en)
  • Vzorkovací hustota pravděpodobnosti simulačních filtrů (cs)
skos:notation
  • RIV/49777513:23520/04:00000037!RIV07-GA0-23520___
http://linked.open.../vavai/riv/strany
  • 175-180
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/01/0021), Z(MSM 235200004)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 585436
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/04:00000037
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • state estimation; nonlinear systems; particle filters; sampling density (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7390ADA1DCDF]
http://linked.open...i/riv/mistoVydani
  • Oxford
http://linked.open...i/riv/nazevZdroje
  • System identification 2003
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
  • Straka, Ondřej
  • Šimandl, Miroslav
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Elsevier
https://schema.org/isbn
  • 0-08-043709-5
http://localhost/t...ganizacniJednotka
  • 23520
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software