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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F13%3A43919530%21RIV15-TA0-23520___
rdf:type
n18:Vysledek skos:Concept
rdfs:seeAlso
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6693922
dcterms: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.
dcterms:title
Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements
skos:prefLabel
Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements Confidence Regions for Multi-Sensor State Estimation under Faulty Measurements
skos:notation
RIV/49777513:23520/13:43919530!RIV15-TA0-23520___
n3:aktivita
n15:S n15:P
n3:aktivity
P(TA01030124), S
n3:dodaniDat
n6:2015
n3:domaciTvurceVysledku
n8:5446937 n8:8131953 n8:2848716
n3:druhVysledku
n12:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
66705
n3:idVysledku
RIV/49777513:23520/13:43919530
n3:jazykVysledku
n7:eng
n3:klicovaSlova
State estimation, confidence region, faulty measurements
n3:klicoveSlovo
n5:faulty%20measurements n5:confidence%20region n5:State%20estimation
n3:kontrolniKodProRIV
[CFD4B8338F73]
n3:mistoKonaniAkce
Nice, France
n3:mistoVydani
Nice, France
n3:nazevZdroje
Proceedings of the 2013 Conference on Control and Fault-Tolerant Systems (SysTol)
n3:obor
n4:BC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n19:TA01030124
n3:rokUplatneniVysledku
n6:2013
n3:tvurceVysledku
Straka, Ondřej Šimandl, Miroslav Punčochář, Ivo
n3:typAkce
n9:WRD
n3:zahajeniAkce
2013-10-09+02:00
s:issn
2162-1195
s:numberOfPages
6
n13:doi
10.1109/SysTol.2013.6693922
n22:hasPublisher
IEEE
n11:isbn
978-1-4799-2855-2
n23:organizacniJednotka
23520