NEF - Nonlinear Estimation Framework for MATLAB
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00501801" target="_blank" >RIV/49777513:23520/09:00501801 - 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
NEF - Nonlinear Estimation Framework for MATLAB
Original language description
The framework is designed with the aim to facilitate implementation, testing and use of various nonlinear state estimation methods in mind. The main strength of the framework is its versatility due to the possibility of either structural or probabilisticdescription of the problem. Besides the well-known basic nonlinear estimation methods such as the extended Kalman filter, the divided difference filters and the unscented Kalman filter, the framework implements particle filter with advanced features aswell. As the framework is designed on the object oriented basis, further extension by user-specified nonlinear estimation algorithms is extremely easy.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
DAR-NEF-1
Technical parameters
Toolbox pro SW produkt MATLAB ve verzich 2008a a vyšší. Pro nabytí licence kontaktujte ing. M. Flídr, Ph.D., tel. 377632559, flidr@kky.zcu.cz:
Economical parameters
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Owner IČO
49777513
Owner name
Skupina IDM na Katedře kybernetiky, Fakulta aplikovaných věd, Západočeská univerzita v Plzni, Univerzitni 8, 30614 Plzeň