Performance Evaluation of Nonlinearity and Non-Gaussianity Measures in State Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932588" target="_blank" >RIV/49777513:23520/17:43932588 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/ICIF.2017.8009699" target="_blank" >http://dx.doi.org/10.23919/ICIF.2017.8009699</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/ICIF.2017.8009699" target="_blank" >10.23919/ICIF.2017.8009699</a>
Alternative languages
Result language
angličtina
Original language name
Performance Evaluation of Nonlinearity and Non-Gaussianity Measures in State Estimation
Original language description
The paper deals with the state estimation of nonlinear stochastic dynamic systems. The stress is laid on the assessment of the estimate error, which is caused by the violation of the estimator design assumptions. The assessment is based on measures comparing estimators actual working conditions and the assumptions under which the estimators have been proposed. In particular, the measures of nonlinearity and non-Gaussianity are discussed. The measures are briefly introduced and selected typical representatives are detailed with respect to their implementation. Performance of the measures is evaluated in the framework of the Gaussian filters in a numerical study.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GC16-19999J" target="_blank" >GC16-19999J: Cooperative Approaches to Design of Nonlinear Filters</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
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 20th International Conference on Information Fusion
ISBN
978-0-9964527-0-0
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
564-573
Publisher name
IEEE
Place of publication
Xi'an
Event location
Xi'an, Čína
Event date
Jul 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000410938300081