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  • 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 uti lization of transient and measurement pdf's is proposed. The functional approach compares two pdf's of a reference variable which are obtained by transformation of the transient and measurement pdf's, using Kullback J-divergence. The functional ap proach to sampling density function synthesis using transient and measurement density functions can be understood as improvement of the sampling density design of the auxiliary particle filter which uses only point estimate of the transient pdf. The higher quality of the functional particle filter with respect to the bootstrap and auxiliary particle filter is illustrated in a numerical example.
  • 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 uti lization of transient and measurement pdf's is proposed. The functional approach compares two pdf's of a reference variable which are obtained by transformation of the transient and measurement pdf's, using Kullback J-divergence. The functional ap proach to sampling density function synthesis using transient and measurement density functions can be understood as improvement of the sampling density design of the auxiliary particle filter which uses only point estimate of the transient pdf. The higher quality of the functional particle filter with respect to the bootstrap and auxiliary particle filter is illustrated in a numerical example. (en)
Title
  • Sampling density design for particle filters
  • Sampling density design for particle filters (en)
skos:prefLabel
  • Sampling density design for particle filters
  • Sampling density design for particle filters (en)
skos:notation
  • RIV/49777513:23520/03:00000019!RIV/2004/GA0/235204/N
http://linked.open.../vavai/riv/strany
  • 180-185
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
  • 626288
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/03:00000019
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
  • [F5C48C056182]
http://linked.open...v/mistoKonaniAkce
  • Rotterdam
http://linked.open...i/riv/mistoVydani
  • Rotterdam
http://linked.open...i/riv/nazevZdroje
  • 13th IFAC Symposium on System Identification
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Straka, Ondřej
  • Šimandl, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • OMNIPRESS
http://localhost/t...ganizacniJednotka
  • 23520
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