About: Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6693922
Description	The paper deals with state estimation of nonlinear dynamic stochastic systems under faulty measurements. The special focus is laid on defining and constructing a confidence region for the state estimate. The construction of the region is motivated by traditional approaches to fault detection based on parity equations and the region is designed by using a geometry perspective to provide a hyper-sphere centered at the state estimate. Consequently, it is proven that the proposed confidence region contains the state with a probability that serves as a design parameter of the region. The construction of the confidence region is illustrated in an example dealing with positioning a moving object using bearing measurements. The paper deals with state estimation of nonlinear dynamic stochastic systems under faulty measurements. The special focus is laid on defining and constructing a confidence region for the state estimate. The construction of the region is motivated by traditional approaches to fault detection based on parity equations and the region is designed by using a geometry perspective to provide a hyper-sphere centered at the state estimate. Consequently, it is proven that the proposed confidence region contains the state with a probability that serves as a design parameter of the region. The construction of the confidence region is illustrated in an example dealing with positioning a moving object using bearing measurements. (en)
Title	Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements (en)
skos:prefLabel	Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements (en)
skos:notation	RIV/49777513:23520/13:43919530!RIV15-TA0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(TA01030124), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Punčochář, Ivo Šimandl, Miroslav Straka, Ondřej
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	66705
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/13:43919530
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	State estimation, confidence region, faulty measurements (en)
http://linked.open.../riv/klicoveSlovo	confidence region State estimation faulty measurements
http://linked.open...ontrolniKodProRIV	[CFD4B8338F73]
http://linked.open...v/mistoKonaniAkce	Nice, France
http://linked.open...i/riv/mistoVydani	Nice, France
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2013 Conference on Control and Fault-Tolerant Systems (SysTol)
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	Safe trains localization for regional lines utilizing satellite navigation means
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Punčochář, Ivo Straka, Ondřej Šimandl, Miroslav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-10-09 (xsd:date)
issn	2162-1195
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/SysTol.2013.6693922
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-2855-2
http://localhost/t...ganizacniJednotka	23520

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