Density Approximation Error Assessment and Compensation in Point-Mass Filter

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965985" target="_blank" >RIV/49777513:23520/22:43965985 - isvavai.cz</a>
Result on the web
<a href="http://https:dx.doi.org-10.23919/FUSION49751.2022.9841336" target="_blank" >http://https:dx.doi.org-10.23919/FUSION49751.2022.9841336</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/FUSION49751.2022.9841336" target="_blank" >10.23919/FUSION49751.2022.9841336</a>

Result language
angličtina
Original language name
Density Approximation Error Assessment and Compensation in Point-Mass Filter
Original language description
This paper deals with the state estimation of non-linear stochastic dynamic systems with an emphasis on a probability density function approximation used by point-mass filters. Approximation error of the standard point-mass density is analysed and quantified, and a novel point-mass density approximation with inherent approximation error minimisation is developed. The properties of the proposed point-mass are theoretically analysed and numerically illustrated.
Czech name
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Czech description
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Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2022 IEEE 25th International Conference on Information Fusion (FUSION)
ISBN
978-1-73774-972-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
Linköping, Sweden
Event location
Linköping, Sweden
Event date
Jul 4, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000855689000108

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