Bayesian State Estimation Using Constrained Zonotopes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00578233" target="_blank" >RIV/67985556:_____/23:00578233 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0012230900003543" target="_blank" >http://dx.doi.org/10.5220/0012230900003543</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0012230900003543" target="_blank" >10.5220/0012230900003543</a>

Result language
angličtina
Original language name
Bayesian State Estimation Using Constrained Zonotopes
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/GC23-04676J" target="_blank" >GC23-04676J: Controllable gripping mechanics: Modelling, control and experiments</a><br>
Continuities
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 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
ISBN
978-989-758-670-5
ISSN
2184-2809
e-ISSN
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Number of pages
6
Pages from-to
189-194
Publisher name
SCITEPRESS
Place of publication
Setúbal
Event location
Řím
Event date
Nov 13, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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