Zonotopic set-membership state estimation for discrete-time descriptor LPV systems
This technical note proposes a novel set-membership state estimation approach based on zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency test between the system model and measured outputs is implemented to construct a parameterized intersection zonotope with re...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/205543 |
| Acceso en línea: | http://hdl.handle.net/10261/205543 |
| Access Level: | acceso abierto |
| Palabra clave: | Descriptor systems Discrete-time linear parameter-varying (LPV) models Set-membership approach State estimation Zonotopes |
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Zonotopic set-membership state estimation for discrete-time descriptor LPV systemsWang, YeWang, ZhenhuaPuig, VicençCembrano, GabrielaDescriptor systemsDiscrete-time linear parameter-varying (LPV) modelsSet-membership approachState estimationZonotopesThis technical note proposes a novel set-membership state estimation approach based on zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency test between the system model and measured outputs is implemented to construct a parameterized intersection zonotope with respect to a correction matrix. With a defined zonotope minimization criterion, we propose a novel offline optimization problem to obtain the optimal correction matrix. In addition, with the proposed approach, an adaptive bound of the radius of the intersection zonotope is also provided. Finally, a case study with a truck-trailer system is shown to illustrate the proposed approach.This work was partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the projects DEOCS (ref. DPI2016-76493-C3-3-R) and SCAV (ref. DPI2017-88403-R), the FPI grant (ref. BES-2014-068319). Z. Wang was supported by National Natural Science Foundation of China (Grant No. 61273162, 61403104).Institute of Electrical and Electronics EngineersAgencia Estatal de Investigación (España)European CommissionMinisterio de Economía y Competitividad (España)Ministerio de Ciencia, Innovación y Universidades (España)National Natural Science Foundation of ChinaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020192020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/205543reponame: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##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493-C3-3-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/DPI2017-88403-RDPI2017-88403-R/AEI/10.13039/501100011033info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2013-48243-C2-1-Rhttp://dx.doi.org/10.1109/TAC.2018.2863659Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2055432026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| title |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| spellingShingle |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems Wang, Ye Descriptor systems Discrete-time linear parameter-varying (LPV) models Set-membership approach State estimation Zonotopes |
| title_short |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| title_full |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| title_fullStr |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| title_full_unstemmed |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| title_sort |
Zonotopic set-membership state estimation for discrete-time descriptor LPV systems |
| dc.creator.none.fl_str_mv |
Wang, Ye Wang, Zhenhua Puig, Vicenç Cembrano, Gabriela |
| author |
Wang, Ye |
| author_facet |
Wang, Ye Wang, Zhenhua Puig, Vicenç Cembrano, Gabriela |
| author_role |
author |
| author2 |
Wang, Zhenhua Puig, Vicenç Cembrano, Gabriela |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Agencia Estatal de Investigación (España) European Commission Ministerio de Economía y Competitividad (España) Ministerio de Ciencia, Innovación y Universidades (España) National Natural Science Foundation of China Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Descriptor systems Discrete-time linear parameter-varying (LPV) models Set-membership approach State estimation Zonotopes |
| topic |
Descriptor systems Discrete-time linear parameter-varying (LPV) models Set-membership approach State estimation Zonotopes |
| description |
This technical note proposes a novel set-membership state estimation approach based on zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency test between the system model and measured outputs is implemented to construct a parameterized intersection zonotope with respect to a correction matrix. With a defined zonotope minimization criterion, we propose a novel offline optimization problem to obtain the optimal correction matrix. In addition, with the proposed approach, an adaptive bound of the radius of the intersection zonotope is also provided. Finally, a case study with a truck-trailer system is shown to illustrate the proposed approach. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2020 2020 2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/205543 |
| url |
http://hdl.handle.net/10261/205543 |
| 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# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493-C3-3-R info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/DPI2017-88403-R DPI2017-88403-R/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2013-48243-C2-1-R http://dx.doi.org/10.1109/TAC.2018.2863659 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
| publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869416696267145216 |
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15,811543 |