Filtering, prediction, and smoothing with Gaussian sum representation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F00%3A00056988" target="_blank" >RIV/49777513:23520/00:00056988 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Filtering, prediction, and smoothing with Gaussian sum representation
Original language description
The paper deals with the state estimation problem for discrete-time nonlinear Nongaussian stochastic dynamic systems. A description of all random variables of the systém by the Gaussian sum probability density functions is considered. The stress is laidon systematic presentation of the new and current results of an application of the Gaussian sums.
Czech name
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Czech description
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Classification
Type
V<sub>x</sub> - Unclassified - Research report containing classified information
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/VS97159" target="_blank" >VS97159: Center for research in the field of cybernetic systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Number of pages
1
Place of publication
Plzeň
Publisher/client name
Západočeská univerzita
Version
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