Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F11%3A00188404" target="_blank" >RIV/68407700:21220/11:00188404 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949517" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949517</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MFCIST.2011.5949517" target="_blank" >10.1109/MFCIST.2011.5949517</a>
Alternative languages
Result language
angličtina
Original language name
Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems
Original language description
This paper introduces Multiscale False Neighbors Analysis (MSFNA) as a supporting tool for state space reconstruction for real-data based modeling techniques. Common false neighbors analysis evaluates uncertainty in mapping of input data to output data for a single setup of radii that define neighborhood and whose correct definition is usually unknown. Contrary to common false neighbors analysis, MSFNA evaluates uncertainty of input-output mapping data by evaluation of false neighbors along the whole intervals of radii that results in overall characterization of uncertainty in input-output data. The power-law concept is applied to the MSFNA as a supportive technique for characterization of uncertainty in data. The proposed MSFNA is demonstrated on comparison of various estimations of state vectors of an artificial plant as well as a real power plant coal burning furnace.
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
<a href="/en/project/FR-TI1%2F538" target="_blank" >FR-TI1/538: Measurement technology for advanced combustion control</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Merging Fields Of Computational Intelligence and Sensor Technology (CompSens), 2011 IEEE Workshop On
ISBN
978-1-4244-9912-0
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
65-72
Publisher name
IEEE
Place of publication
New York
Event location
Paris
Event date
Apr 11, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000302993800010