Structure Adaptation of Nonlinear Filters based on Non-Gaussianity Measures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925644" target="_blank" >RIV/49777513:23520/15:43925644 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ACC.2015.7171819" target="_blank" >http://dx.doi.org/10.1109/ACC.2015.7171819</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACC.2015.7171819" target="_blank" >10.1109/ACC.2015.7171819</a>
Alternative languages
Result language
angličtina
Original language name
Structure Adaptation of Nonlinear Filters based on Non-Gaussianity Measures
Original language description
The paper deals with state estimation of stochastic nonlinear dynamical systems. A structure adaptation of nonlinear filters is proposed to reduce errors stemming from approximations made by the filters. The adaptation is controlled by non-Gaussian measures which assess current working conditions of the filter. A large non-Gaussian measure indicates a possible large approximation error and results in splitting the state conditional probability density function. To limit computational complexity of the filter given by the number of terms, a reduction of this number is done by merging some terms. The algorithm of the proposed filter with structure adaptation is detailed using the extended Kalman filter relations. Performance of the filter is 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
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptive Approaches to State Estimation of Nonlinear Stochastic Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
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 2015 American Control Conference
ISBN
978-1-4799-8684-2
ISSN
0743-1619
e-ISSN
—
Number of pages
6
Pages from-to
3162-3167
Publisher name
IEEE
Place of publication
Chicago
Event location
Chicago, USA
Event date
Jul 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000370259203042