Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969673" target="_blank" >RIV/49777513:23520/23:43969673 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/ACC55779.2023.10155942" target="_blank" >https://doi.org/10.23919/ACC55779.2023.10155942</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/ACC55779.2023.10155942" target="_blank" >10.23919/ACC55779.2023.10155942</a>

Result language
angličtina
Original language name
Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory
Original language description
This paper deals with distributed Bayesian state estimation of generally nonlinear stochastic dynamic systems. In particular, distributed point-mass filter algorithm is developed. It is comprised of a basic part that is accurate but data intense and optional step employing advanced copula theory. The optional step significantly reduces data transfer for the price of a small accuracy decrease. In the end, the developed algorithm is numerically compared to the usually employed distributed extended Kalman filter.
Czech name
—
Czech description
—

Project
<a href="/en/project/EF19_073%2F0016931" target="_blank" >EF19_073/0016931: Improving the quality of the internal grant structure at UWB</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2023 American Control Conference
ISBN
979-8-3503-2806-6
ISSN
0743-1619
e-ISSN
2378-5861
Number of pages
6
Pages from-to
1649-1654
Publisher name
IEEE
Place of publication
San Diego, CA, USA
Event location
San Diego, CA, USA
Event date
May 31, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001027160301078

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