bibtype C - Conference Paper (international conference)
ARLID 0578233
utime 20240402214741.7
mtime 20231120235959.9
DOI 10.5220/0012230900003543
title (primary) (eng) Bayesian State Estimation Using Constrained Zonotopes
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0578232
ISBN 978-989-758-670-5
ISSN 2184-2809
title Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
page_num 189-194
publisher
place Setúbal
name SCITEPRESS
year 2023
editor
name1 Gini
name2 Giuseppina
editor
name1 Nijmeijer
name2 Henk
editor
name1 Filev
name2 Dimitar
keyword stochastic systems
keyword recursive state estimation
keyword bounded noise
keyword constrained zonotope
keyword state-space model
keyword linear system
keyword approximate estimation
author (primary)
ARLID cav_un_auth*0382598
name1 Kuklišová Pavelková
name2 Lenka
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2023/AS/kuklisova-0578233.pdf
cas_special
project
project_id GC23-04676J
agency GA ČR
country CZ
ARLID cav_un_auth*0453493
abstract (eng) This paper proposes an approximate Bayesian recursive algorithm for the state estimation of a linear discrete-time stochastic state-space model. The involved state and observation noises are assumed to be bounded and uniformly distributed. The support of a posterior probability density function (pdf) is approximated by a constrained zonotope of an adjustable complexity. The behaviour of the proposed algorithm is illustrated by simulations and compared with other methods.
action
ARLID cav_un_auth*0458148
name International Conference on Informatics in Control, Automation and Robotics 2023 (ICINCO 2023) /20./
dates 20231113
mrcbC20-s 20231115
place Řím
country IT
RIV BC
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2024
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0347646
confidential S
arlyear 2023
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0578232 Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO) SCITEPRESS 2023 Setúbal 189 194 978-989-758-670-5 2184-2809
mrcbU67 Gini Giuseppina 340
mrcbU67 Nijmeijer Henk 340
mrcbU67 Filev Dimitar 340