Robust synthesis of dynamic refilters

Giusto, Alvaro - Paganini, Fernando

Resumen:

The design of a dynamic prefilter from the point of view of robust performance under structured uncertainty is considered. Synthesis methods are presented for the cases of Xm or


#8216,U2 performance, and Linear Time-Invariant (LTI) or Linear Time Varying (LTV) uncertainty, all of which result in convex optimization problems across frequency. Methods to obtain finitedimensional approximations are discussed. In the case of Uw performance and LTV uncertainty, the synthesis problem is reduced exactly to a finite dimensional Linear Matrix Inequality (LMI) in state space.


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Detalles Bibliográficos
1997
Español
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/20739
Acceso abierto
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author Giusto, Alvaro
author2 Paganini, Fernando
author2_role author
author_facet Giusto, Alvaro
Paganini, Fernando
author_role author
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dc.creator.none.fl_str_mv Giusto, Alvaro
Paganini, Fernando
dc.date.accessioned.none.fl_str_mv 2019-05-29T15:28:03Z
dc.date.available.none.fl_str_mv 2019-05-29T15:28:03Z
dc.date.issued.es.fl_str_mv 1997
dc.date.submitted.es.fl_str_mv 20190528
dc.description.abstract.none.fl_txt_mv The design of a dynamic prefilter from the point of view of robust performance under structured uncertainty is considered. Synthesis methods are presented for the cases of Xm or
#8216,U2 performance, and Linear Time-Invariant (LTI) or Linear Time Varying (LTV) uncertainty, all of which result in convex optimization problems across frequency. Methods to obtain finitedimensional approximations are discussed. In the case of Uw performance and LTV uncertainty, the synthesis problem is reduced exactly to a finite dimensional Linear Matrix Inequality (LMI) in state space.
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dc.identifier.citation.es.fl_str_mv Giusto, Alvaro, Paganini, Fernando . Robust synthesis of dynamic refilters [en línea] American Control Conference, Albuquerque, New Mexico, 1997.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/20739
dc.language.iso.none.fl_str_mv es
spa
dc.publisher.es.fl_str_mv AACC
dc.relation.ispartof.es.fl_str_mv American Control Conference, Albuquerque, New Mexico, 1997. Proceedings
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.title.none.fl_str_mv Robust synthesis of dynamic refilters
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description The design of a dynamic prefilter from the point of view of robust performance under structured uncertainty is considered. Synthesis methods are presented for the cases of Xm or
eu_rights_str_mv openAccess
format article
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identifier_str_mv Giusto, Alvaro, Paganini, Fernando . Robust synthesis of dynamic refilters [en línea] American Control Conference, Albuquerque, New Mexico, 1997.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language spa
language_invalid_str_mv es
network_acronym_str COLIBRI
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oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/20739
publishDate 1997
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
spelling 2019-05-29T15:28:03Z2019-05-29T15:28:03Z199720190528Giusto, Alvaro, Paganini, Fernando . Robust synthesis of dynamic refilters [en línea] American Control Conference, Albuquerque, New Mexico, 1997.https://hdl.handle.net/20.500.12008/20739The design of a dynamic prefilter from the point of view of robust performance under structured uncertainty is considered. Synthesis methods are presented for the cases of Xm or#8216,U2 performance, and Linear Time-Invariant (LTI) or Linear Time Varying (LTV) uncertainty, all of which result in convex optimization problems across frequency. Methods to obtain finitedimensional approximations are discussed. In the case of Uw performance and LTV uncertainty, the synthesis problem is reduced exactly to a finite dimensional Linear Matrix Inequality (LMI) in state space.nbsp,Made available in DSpace on 2019-05-29T15:28:03Z (GMT). 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- Universidad de la Repúblicafalse
spellingShingle Robust synthesis of dynamic refilters
Giusto, Alvaro
status_str publishedVersion
title Robust synthesis of dynamic refilters
title_full Robust synthesis of dynamic refilters
title_fullStr Robust synthesis of dynamic refilters
title_full_unstemmed Robust synthesis of dynamic refilters
title_short Robust synthesis of dynamic refilters
title_sort Robust synthesis of dynamic refilters
url https://hdl.handle.net/20.500.12008/20739

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