Subspace Identification of Poorly Excited Industrial Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00173813" target="_blank" >RIV/68407700:21230/10:00173813 - 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 of Poorly Excited Industrial Systems
Original language description
Most of the industrial applications are MIMO systems, that can be be identified using knowledge of the system's physics or from measured data employing statistical methods. Currently, there is the only class of statistical identification methods capableof handling the issue of vast MIMO systems - subspace identification methods. These methods need data of certain quality. Nevertheless, the combination of statistical methods and physical knowledge of the system could significantly improve system identification. This paper presents a new algorithm which provides remedy to insufficient data quality of certain kind through incorporating of prior information, e.g. known static gain or input-output feedthrough. The presented algorithm naturally extends classical subspace identification algorithms. The performance of the algorithm is shown on a case study and compared to current methods, where the model is used for an MPC control of a large building heating system.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 49th IEEE Conference on Decision and Control
ISBN
978-1-4244-7744-9
ISSN
0191-2216
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Omnipress
Place of publication
Madison
Event location
Atlanta
Event date
Dec 15, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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