Continuous Nonlinear State Prediction by Finite Volume Method on Logically Rectangular Grids
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962467" target="_blank" >RIV/49777513:23520/21:43962467 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.1109/CDC45484.2021.9683293" target="_blank" >https://dx.doi.org/10.1109/CDC45484.2021.9683293</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CDC45484.2021.9683293" target="_blank" >10.1109/CDC45484.2021.9683293</a>
Alternative languages
Result language
angličtina
Original language name
Continuous Nonlinear State Prediction by Finite Volume Method on Logically Rectangular Grids
Original language description
This paper deals with the state estimation of the nonlinear stochastic models with continuous dynamics and discrete measurement. Namely, the numerical solution to the Fokker-Planck equation, representing the estimator time update, is explored. Unlike the classical approaches, which use the finite difference method and operate on a standard rectangular grid, this paper utilizes the finite volume method on the logically rectangular grid. In particular, the circular grid is chosen, which better approximates an estimated conditional probability density function support and improves time update accuracy without any impact on its computational complexity. The benefits of the solution are illustrated in a numerical example.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
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
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2021 IEEE 60th IEEE Conference on Decision and Control (CDC)
ISBN
978-1-66543-659-5
ISSN
0743-1546
e-ISSN
2576-2370
Number of pages
6
Pages from-to
5890-5895
Publisher name
IEEE
Place of publication
Austin
Event location
Austin, Texas, USA
Event date
Dec 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000781990305026