Subspace Identification Incorporating Prior Information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A00133872" target="_blank" >RIV/68407700:21230/07:00133872 - 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
Subspace Identification Incorporating Prior Information
Original language description
Subspace identification methods proved to be a powerful tool, which can further benefit from the incorporation of prior information. In the industrial environment, there is often strong prior information about the identified system, that can be used to improve the model quality and its compliance with physical reality. Such prior information can be the known static gains, the dominant time constants, the impulse response smoothness, etc. An idea comes from the possibility to consider the subspace identification as an optimization problem of finding a model with the optimal multi-step predictions on the experimental data. Further, the problem is reformulated to the Bayesian framework allowing to combine available prior information with the information contained in the experimental data by covariance matrix shaping. The paper is completed with an application to experimental data from an oil firing steam boiler with the rated effective power of 100 MW.
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%2F05%2F2075" target="_blank" >GA102/05/2075: Theoretical background for integrated process control and optimization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
46th IEEE Conference on Decision and Control (CDC), 2007
ISBN
978-1-4244-1497-0
ISSN
0191-2216
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
New Orleans, Louisiana
Event date
Dec 12, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000255181700233