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Automatica
Article . 2009 . Peer-reviewed
License: Elsevier TDM
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Article . 2009
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Article . 2009
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The filter design from data (FD2) problem: Nonlinear Set Membership approach

The filter design from data (FD2) problem: nonlinear set membership approach
descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2009 Italy English Publisher:Elsevier BVJournal:Automatica, volume 45, pages 2,350-2,357 (issn: 0005-1098, Copyright policy )
Authors: MILANESE, Mario; NOVARA, Carlo; K. HSU; K. POOLLA;

doi: 10.1016/j.automatica.2009.06.014

handle: 11583/2261348

The filter design from data (FD2) problem: Nonlinear Set Membership approach

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Related Organizations
Keywords

virtual sensors, Observability, direct filter design, soft sensors, nonlinear filtering, Nonlinear systems in control theory, Filtering in stochastic control theory

  • BIP!
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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).
    		 29
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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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!
29
Average
Top 10%
Top 10%
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