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https://dx.doi.org/10.5540/tem...
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Subspace Identification for Industrial Processes

Subspace identification for industrial processes
descriptionPublicationkeyboard_double_arrow_right Article 08 Jan 2011Publisher:Brazilian Society for Computational and Applied Mathematics (SBMAC)Journal:Trends in Computational and Applied Mathematics, volume 12, pages 183-194 (eissn: 2676-0029, Copyright policy )
Authors: Borjas, S.D.M.; Garcia, C.;

doi: 10.5540/tema.2011.012.03.0183

Subspace Identification for Industrial Processes

Abstract

Summary: Subspace identification has been a topic of research along the last years. Methods as MOESP and N4SID are well known and they use the LQ decomposition of certain matrices of input and output data. Based on these we introduce the MON4SID method, which uses the techniques MOESP and N4SID.

Related Organizations
Keywords

state space models, método N4SID, processos industriais, System identification, método MOESP, Subspace identification, Identificação por subespaços

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    selected citations
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
Green
gold