bibtype C - Conference Paper (international conference)
ARLID 0314032
utime 20240111140708.8
mtime 20081107235959.9
title (primary) (eng) Exploitation of particle filter for forecast error covariance structure estimation
specification
page_count 6 s.
serial
ARLID cav_un_epca*0312646
ISBN 978-961-264-003-3
title Proceedings of the 9th International PhD Workshop on Systems and Control, Young Generation Viewpoint
page_num 1-6
publisher
place Izola
name Jozef Stefan Institute
year 2008
editor
name1 Gašperin
name2 Matej
editor
name1 Pregelj
name2 Boštjan
title (cze) Využití částečného filtrování pro odhadování chyb kovariace struktury odhadů
keyword data assimilation
keyword estimation
keyword marginalized
keyword particle filter
keyword model error covariane structure
author (primary)
ARLID cav_un_auth*0228606
name1 Hofman
name2 Radek
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2008/AS/hofman-exploitation%20of%20particle%20filter%20for%20forecast%20error%20covariance%20structure%20estimation.pdf
cas_special
project
project_id GA102/07/1596
agency GA ČR
country CZ
ARLID cav_un_auth*0227611
research CEZ:AV0Z10750506
abstract (eng) The paper presents a scheme for estimation of spatio-temporal evolution of a quantity with unknown model error based on LU model. Solution of LU model is efficient and easy to implementation even for high dimensional problems. Model error is assumed to be uniformly distributed and it is estimated upon measured and modeled values. Methods of linear programming are applied to the problem. The main contribution of this paper is application of general LU estimation algorithm to the linear--uniform problem with unknown model error magnitude. Methodology is demonstrated on the problem of modeling of spatio--temporal evolution of groundshine--dose from radionuclides deposited on terrain in long--time horizon. Achieved results and the methodology is compared to the results obtained by an approach based on the MPF algorithm. The advantages of particular methods are concluded.
abstract (cze) článek se zabývá schématem pro odhadování spatio-temporální evoluce kvantity s neznámým modelem chyb založeném na modelu LU.
action
ARLID cav_un_auth*0242544
name 9th International PhD Workshop on Systems and Control: A Young Generation Viewpoint
place Izola
dates 01.10.2008-03.10.2008
country SI
reportyear 2009
RIV BC
permalink http://hdl.handle.net/11104/0164670
arlyear 2008
mrcbU56 pdf
mrcbU63 cav_un_epca*0312646 Proceedings of the 9th International PhD Workshop on Systems and Control, Young Generation Viewpoint 978-961-264-003-3 1 6 Izola Jozef Stefan Institute 2008
mrcbU67 Gašperin Matej 340
mrcbU67 Pregelj Boštjan 340