Survey of Nonlinearity and Non-Gaussianity Measures for State Estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929221" target="_blank" >RIV/49777513:23520/16:43929221 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7528107/" target="_blank" >http://ieeexplore.ieee.org/document/7528107/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Survey of Nonlinearity and Non-Gaussianity Measures for State Estimation
Original language description
The paper addresses state estimation of nonlinear stochastic dynamic systems. In particular, the stress is laid on the selection and performance monitoring of estimators based on measures assessing the validity of the assumptions under which the estimators have been proposed. The main focus is placed on summary and unification of the measures of nonlinearity and non-Gaussianity which might be used in state estimation. Discussions include analysis of the measures for stability, consistency, and validity. Using both local and global measures of nonlinearity (MoNL) include differential geometry, least squares, and convex optimisation while measures of non-Gaussianity (MoNG) include moment matching and volume differencing.
Czech name
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Czech description
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Project
<a href="/en/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptive Approaches to State Estimation of Nonlinear Stochastic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 19th International Conference on Information Fusion
ISBN
978-0-9964527-4-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1845-1852
Publisher name
IEEE
Place of publication
Heidelberg
Event location
Heidelberg, Germany
Event date
Jul 5, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391273400245

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