bibtype V - Research Report
ARLID 0519771
utime 20240103223438.7
mtime 20200115235959.9
title (primary) (eng) Approximate Bayesian state estimation and output prediction using state-space model with uniform noise
publisher
place Praha
name ÚTIA AV ČR
pub_time 2019
specification
page_count 21 s.
media_type P
edition
name Research Report
volume_id 2381
keyword Bayesian filtering
keyword state estimation
keyword output prediction
keyword uniform noise
keyword parallelotopic support
keyword orthotopic support
author (primary)
ARLID cav_un_auth*0387475
name1 Lainová
name2 Eva
institution UTIA-B
full_dept (cz) Adaptivní systémy
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0382598
name1 Kuklišová Pavelková
name2 Lenka
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101119
full_dept Department of Adaptive Systems
name1 Jirsa
name2 Ladislav
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/AS/kuklisova-0519771.pdf
cas_special
project
ARLID cav_un_auth*0362986
project_id GA18-15970S
agency GA ČR
country CZ
abstract (eng) This paper contributes to the problem of approximate Bayesian state estimation and output prediction using state space model with uniformly distributed noise. Algorithms for Bayesian filtering and output prediction for states uniformly distributed on an orthotopic support and Bayesian filtering and output prediction for states uniformly distributed on a parallelotopic support are presented and compared.
FORD0 10000
reportyear 2020
num_of_auth 3
mrcbC52 4 O 4o 20231122144641.7
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0304777
confidential S
arlyear 2019
mrcbTft \nSoubory v repozitáři: 0519771.pdf
mrcbU10 2019
mrcbU10 Praha ÚTIA AV ČR