Neural Networks in Local State Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43915569" target="_blank" >RIV/49777513:23520/12:43915569 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/MMAR.2012.6347879" target="_blank" >http://dx.doi.org/10.1109/MMAR.2012.6347879</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MMAR.2012.6347879" target="_blank" >10.1109/MMAR.2012.6347879</a>
Alternative languages
Result language
angličtina
Original language name
Neural Networks in Local State Estimation
Original language description
The problem of state estimation with partially unknown system dynamics is proposed and discussed. The unknown part of nonlinear functions in system dynamics are approximated by neural networks (NN's). System state and the NN unknown parameters are estimated simultaneously in real-time without necessity of any off-line training process of NN. Three local estimators were applied to the problem of NN based state estimation. The estimation qualities of the considered estimators are compared within three numerical examples covering a different kind of uncertainty in the model description.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
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 17th International Conference on Methods and Models in Automation and Robotics
ISBN
978-1-4673-2124-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
250-255
Publisher name
IEEE
Place of publication
New York
Event location
Międzyzdroje, Poland
Event date
Aug 27, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312660400046