Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection

This paper studies a set-based unknown input observer based on zonotopes for discrete-time descriptor systems affected by uncertainties with application to state estimation and robust fault detection. In this paper, two types of uncertainties are considered: (i) disturbances and noise both bounded b...

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Detalles Bibliográficos
Autores: Wang, Ye, Puig, Vicenç, Xu, Feng, Cembrano, Gabriela
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/179598
Acceso en línea:http://hdl.handle.net/10261/179598
Access Level:acceso abierto
Palabra clave:Unknown input observer
Zonotopes
State estimation
Robust fault detection
Discrete-time descriptor systems
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spelling Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detectionWang, YePuig, VicençXu, FengCembrano, GabrielaUnknown input observerZonotopesState estimationRobust fault detectionDiscrete-time descriptor systemsThis paper studies a set-based unknown input observer based on zonotopes for discrete-time descriptor systems affected by uncertainties with application to state estimation and robust fault detection. In this paper, two types of uncertainties are considered: (i) disturbances and noise both bounded by zonotopes; (ii) unknown inputs that can be decoupled. In terms of different applications, the observer gain for state estimation is designed to minimize the effects of unknown-but-bounded disturbances and noise as well as state estimation errors. On the other hand, for robust fault detection, in addition to attenuating uncertainties, the designed observer gain is also expected to be sensitive to faults. To achieve this goal, we propose an iterative algorithm to design the fault detection gain. Finally, some illustrative results in an application example show the effectiveness of the proposed algorithms.This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project DEOCS (ref. DPI2016-76493) and SCAV (ref. DPI2017-88403-R), the FPI grant (ref. BES-2014-068319), and by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (ref. 2017-SGR-482).Peer reviewedElsevierMinisterio de Economía y Competitividad (España)European CommissionGeneralitat de CatalunyaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/179598reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-88403-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2013-48243-C2-1-Rhttps://doi.org/10.1016/j.ifacol.2018.09.594Get rights and contentSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1795982026-05-22T06:33:51Z
dc.title.none.fl_str_mv Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
title Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
spellingShingle Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
Wang, Ye
Unknown input observer
Zonotopes
State estimation
Robust fault detection
Discrete-time descriptor systems
title_short Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
title_full Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
title_fullStr Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
title_full_unstemmed Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
title_sort Zonotopic unknown input observer of discrete-time descriptor systems for state estimation and robust fault detection
dc.creator.none.fl_str_mv Wang, Ye
Puig, Vicenç
Xu, Feng
Cembrano, Gabriela
author Wang, Ye
author_facet Wang, Ye
Puig, Vicenç
Xu, Feng
Cembrano, Gabriela
author_role author
author2 Puig, Vicenç
Xu, Feng
Cembrano, Gabriela
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Generalitat de Catalunya
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Unknown input observer
Zonotopes
State estimation
Robust fault detection
Discrete-time descriptor systems
topic Unknown input observer
Zonotopes
State estimation
Robust fault detection
Discrete-time descriptor systems
description This paper studies a set-based unknown input observer based on zonotopes for discrete-time descriptor systems affected by uncertainties with application to state estimation and robust fault detection. In this paper, two types of uncertainties are considered: (i) disturbances and noise both bounded by zonotopes; (ii) unknown inputs that can be decoupled. In terms of different applications, the observer gain for state estimation is designed to minimize the effects of unknown-but-bounded disturbances and noise as well as state estimation errors. On the other hand, for robust fault detection, in addition to attenuating uncertainties, the designed observer gain is also expected to be sensitive to faults. To achieve this goal, we propose an iterative algorithm to design the fault detection gain. Finally, some illustrative results in an application example show the effectiveness of the proposed algorithms.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/179598
url http://hdl.handle.net/10261/179598
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-88403-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2013-48243-C2-1-R
https://doi.org/10.1016/j.ifacol.2018.09.594Get rights and content
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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