Subspace Identification as Multi-step Predictions Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03109349" target="_blank" >RIV/68407700:21230/05:03109349 - 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 as Multi-step Predictions Optimization
Original language description
We will show that apparently complicated and not easy to understand expressions with geometrical projections appearing in the algorithms of subspace identification for linear state space models, can be quite simply derived from optimizing these models for multi-step predictions on measured data samples using least squares. Furthermore we will show the advantages, which bring the use of multi-step predictions instead of single-step predictions arising from regression methods.
Czech name
Není k dispozici
Czech description
Není k dispozici
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/GD102%2F03%2FH116" target="_blank" >GD102/03/H116: TALENT - coordinated education of Ph. D. students in control engineering and robotics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
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 Fifth IASTED International Conference on MODELLING, SIMULATION, AND OPTIMIZATION
ISBN
0-88986-524-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
223-228
Publisher name
ACTA Press
Place of publication
Anaheim
Event location
Oranjestad
Event date
Aug 29, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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