Schmidt-Kalman Filters for Systems with Uncertain Parameters and Asynchronous Sampling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00324784" target="_blank" >RIV/68407700:21230/18:00324784 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Schmidt-Kalman Filters for Systems with Uncertain Parameters and Asynchronous Sampling
Original language description
This paper introduces estimation algorithms for systems with uncertain parameters and asynchronous sampling. The algorithms are created by merging the Schmidt-Kalman filter (SKF) for systems with uncertain parameters and the conventional Kalman filter for systems with correlated noises. The system descriptions obtained by different discretization approaches are analyzed and used to develop the equivalent of the SKF. Then the SKF for systems with asynchronous sampling is developed by applying the SKF or its equivalent on the part of sampling period where the process and measurement noises are correlated. The accuracy of the novel filters is tested on a simple example.
Czech name
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Czech description
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Project
<a href="/en/project/GA18-26278S" target="_blank" >GA18-26278S: Incorporation of Prior Knowledge for Identification of Nonlinear Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 18th International Conference on Control, Automation and Systems
ISBN
978-89-93215-15-1
ISSN
1598-7833
e-ISSN
2093-7121
Number of pages
6
Pages from-to
357-362
Publisher name
Institute of Control, Robotics and Systems (ICROS)
Place of publication
Wonmi-gu, Gyeonggi-do
Event location
YongPyong Resort in PyeongChang, GangWon
Event date
Oct 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000457612300055

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