Direct Method for Structural Observability Analysis

Autores
Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A noncombinatorial method for structural observability analysis is presented in this paper. The technique rearranges the process occurrence matrix to a specific block lower-triangular pattern by means of bigraphs and digraphs in two consecutive stages. The algorithmic core is constituted of a new node classification that leads to suitable maximum-matching decompositions even for structurally singular matrices. A three-step strategy for the identification and analysis of forbidden subsets was also designed to take into account the additional numeric constraints that guarantee further solvability of the final pattern. In contrast with other structural techniques, the proposed method treats complex nonlinear models in a remarkably efficient way. Its performance was compared with existing structural observability techniques for three industrial problems. The final results revealed that the direct method is extremely robust and efficient in computing times, becoming more efficacious as problems grow in size and complexity.
Fil: Ponzoni, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
OBSERVABILITY ANALYSIS
GRAPHS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
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oai:ri.conicet.gov.ar:11336/97510
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Direct Method for Structural Observability AnalysisPonzoni, IgnacioSanchez, Mabel CristinaBrignole, Nélida BeatrizOBSERVABILITY ANALYSISGRAPHShttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A noncombinatorial method for structural observability analysis is presented in this paper. The technique rearranges the process occurrence matrix to a specific block lower-triangular pattern by means of bigraphs and digraphs in two consecutive stages. The algorithmic core is constituted of a new node classification that leads to suitable maximum-matching decompositions even for structurally singular matrices. A three-step strategy for the identification and analysis of forbidden subsets was also designed to take into account the additional numeric constraints that guarantee further solvability of the final pattern. In contrast with other structural techniques, the proposed method treats complex nonlinear models in a remarkably efficient way. Its performance was compared with existing structural observability techniques for three industrial problems. The final results revealed that the direct method is extremely robust and efficient in computing times, becoming more efficacious as problems grow in size and complexity.Fil: Ponzoni, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaAmerican Chemical Society2004-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/97510Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz; Direct Method for Structural Observability Analysis; American Chemical Society; Industrial & Engineering Chemical Research; 43; 2; 1-2004; 577-5880888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/ie0300326info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/ie0300326info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:30Zoai:ri.conicet.gov.ar:11336/97510instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:52:30.381CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Direct Method for Structural Observability Analysis
title Direct Method for Structural Observability Analysis
spellingShingle Direct Method for Structural Observability Analysis
Ponzoni, Ignacio
OBSERVABILITY ANALYSIS
GRAPHS
title_short Direct Method for Structural Observability Analysis
title_full Direct Method for Structural Observability Analysis
title_fullStr Direct Method for Structural Observability Analysis
title_full_unstemmed Direct Method for Structural Observability Analysis
title_sort Direct Method for Structural Observability Analysis
dc.creator.none.fl_str_mv Ponzoni, Ignacio
Sanchez, Mabel Cristina
Brignole, Nélida Beatriz
author Ponzoni, Ignacio
author_facet Ponzoni, Ignacio
Sanchez, Mabel Cristina
Brignole, Nélida Beatriz
author_role author
author2 Sanchez, Mabel Cristina
Brignole, Nélida Beatriz
author2_role author
author
dc.subject.none.fl_str_mv OBSERVABILITY ANALYSIS
GRAPHS
topic OBSERVABILITY ANALYSIS
GRAPHS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A noncombinatorial method for structural observability analysis is presented in this paper. The technique rearranges the process occurrence matrix to a specific block lower-triangular pattern by means of bigraphs and digraphs in two consecutive stages. The algorithmic core is constituted of a new node classification that leads to suitable maximum-matching decompositions even for structurally singular matrices. A three-step strategy for the identification and analysis of forbidden subsets was also designed to take into account the additional numeric constraints that guarantee further solvability of the final pattern. In contrast with other structural techniques, the proposed method treats complex nonlinear models in a remarkably efficient way. Its performance was compared with existing structural observability techniques for three industrial problems. The final results revealed that the direct method is extremely robust and efficient in computing times, becoming more efficacious as problems grow in size and complexity.
Fil: Ponzoni, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description A noncombinatorial method for structural observability analysis is presented in this paper. The technique rearranges the process occurrence matrix to a specific block lower-triangular pattern by means of bigraphs and digraphs in two consecutive stages. The algorithmic core is constituted of a new node classification that leads to suitable maximum-matching decompositions even for structurally singular matrices. A three-step strategy for the identification and analysis of forbidden subsets was also designed to take into account the additional numeric constraints that guarantee further solvability of the final pattern. In contrast with other structural techniques, the proposed method treats complex nonlinear models in a remarkably efficient way. Its performance was compared with existing structural observability techniques for three industrial problems. The final results revealed that the direct method is extremely robust and efficient in computing times, becoming more efficacious as problems grow in size and complexity.
publishDate 2004
dc.date.none.fl_str_mv 2004-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/97510
Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz; Direct Method for Structural Observability Analysis; American Chemical Society; Industrial & Engineering Chemical Research; 43; 2; 1-2004; 577-588
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/97510
identifier_str_mv Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz; Direct Method for Structural Observability Analysis; American Chemical Society; Industrial & Engineering Chemical Research; 43; 2; 1-2004; 577-588
0888-5885
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/ie0300326
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/ie0300326
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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