About: Performance diagnosis of local filters in state estimation of nonlinear systems

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://dx.doi.org/10.1088/1742-6596/570/1/012004
Description	The paper deals with state estimation of nonlinear stochastic discrete-time systems with a special focus on filters providing a point estimate of the state. The aim is concentrated on performance diagnosis of the filters, which should inform about a possible decrease of estimate quality provided by the filter. The paper proposes a diagnostics of the filter performance using the non-Gaussianity measures. More specifically, the paper focuses on a third-order moment based non-Gaussianity measure and provides relations for its recursive computation. It is shown that this measure can effectively be used for the performance diagnosis of the filters, which is illustrated using a numerical example. The example considers tracking motion of a ship using the extended Kalman filter. The paper deals with state estimation of nonlinear stochastic discrete-time systems with a special focus on filters providing a point estimate of the state. The aim is concentrated on performance diagnosis of the filters, which should inform about a possible decrease of estimate quality provided by the filter. The paper proposes a diagnostics of the filter performance using the non-Gaussianity measures. More specifically, the paper focuses on a third-order moment based non-Gaussianity measure and provides relations for its recursive computation. It is shown that this measure can effectively be used for the performance diagnosis of the filters, which is illustrated using a numerical example. The example considers tracking motion of a ship using the extended Kalman filter. (en)
Title	Performance diagnosis of local filters in state estimation of nonlinear systems Performance diagnosis of local filters in state estimation of nonlinear systems (en)
skos:prefLabel	Performance diagnosis of local filters in state estimation of nonlinear systems Performance diagnosis of local filters in state estimation of nonlinear systems (en)
skos:notation	RIV/49777513:23520/14:43923294!RIV15-TA0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(EE2.3.30.0013), P(TA03030674), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Šimandl, Miroslav Straka, Ondřej Duník, Jindřich
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	36136
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/14:43923294
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	state estimation, nonlinear filters, Kalman filtering, non-Gaussianity measures,performance diagnosis (en)
http://linked.open.../riv/klicoveSlovo	performance diagnosis state estimation Kalman filtering nonlinear filters non-Gaussianity measures
http://linked.open...ontrolniKodProRIV	[A88B9606E0EF]
http://linked.open...v/mistoKonaniAkce	Berlin, Germany
http://linked.open...i/riv/mistoVydani	Bristol
http://linked.open...i/riv/nazevZdroje	Journal of Physics: Conference Series
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Excellence in human resources as a source of competitiveness Position, Attitude and Heading Reference System
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Straka, Ondřej Šimandl, Miroslav Duník, Jindřich
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-11-13 (xsd:date)
issn	1742-6588
number of pages	12 (xsd:int)
http://bibframe.org/vocab/doi	10.1088/1742-6596/570/1/012004
http://purl.org/ne...btex#hasPublisher	IOP Publishing
http://localhost/t...ganizacniJednotka	23520

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