Adaptive multiple model approach for system identification and change detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F01%3A00064865" target="_blank" >RIV/49777513:23520/01:00064865 - 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
Adaptive multiple model approach for system identification and change detection
Original language description
The multiple model approach for systém identification and change detection of stochastic systems is analyzed in this paper. The basic methods of the multiple model approach are described with respect to the models set design. The extended multiple modelapproach for selecting an adequate model of the observed system is designed for the case of subjectively determined models set. This approach leading to the adaptation of the models set is illustrated.
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/GA102%2F01%2F0021" target="_blank" >GA102/01/0021: Nonlinear estimation and change detection for stochastic systems</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Adaptive multiple model approach for system identification and change detection
ISBN
8073180308
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Univerzita Tomáše Bati
Place of publication
Neuveden
Event location
Neuveden
Event date
Jan 1, 2001
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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