Verification of generalized robust diagnosability of discrete event systems

Detalhes bibliográficos
Autor(a) principal: Coutinho, Lahis El Ajouze Azeredo
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da UFRJ
Texto Completo: http://hdl.handle.net/11422/6094
Resumo: This work addresses the problem of generalized robust diagnosability (GRD) of discrete event systems (DESs) described by a class of automata, where each automaton in the class generates a distinct language. The definition of GRD and the algorithm for its verification previously proposed in literature were updated, resulting in an algorithm with smaller computational complexity than the previous one. Based on this algorithm, a new necessary and sufficient condition for generalized robust diagnosability was presented. Four different approaches on diagnosability of DESs were analyzed: the problem of diagnosability of discrete event systems subject to permanent sensor failures (i); the problem of robust diagnosis of discrete event systems against permanent (ii) and intermittent (iii) loss of observations; and the problem of verification of robust diagnosability for partially observed discrete event systems (iv). Transformation mechanisms for each analyzed problem were proposed with the purpose of demonstrating that all approaches (i) - (iv) are particular cases of the generalized robust diagnosability definition proposed in this work.
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spelling Verification of generalized robust diagnosability of discrete event systemsVerificação da diagnosticabilidade robusta generalizada de sistemas a eventos discretosSistemas discretosDiagnósticoAlgoritmosCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::MEDIDAS ELETRICAS, MAGNETICAS E ELETRONICAS INSTRUMENTACAO::SISTEMAS ELETRONICOS DE MEDIDA E DE CONTROLEThis work addresses the problem of generalized robust diagnosability (GRD) of discrete event systems (DESs) described by a class of automata, where each automaton in the class generates a distinct language. The definition of GRD and the algorithm for its verification previously proposed in literature were updated, resulting in an algorithm with smaller computational complexity than the previous one. Based on this algorithm, a new necessary and sufficient condition for generalized robust diagnosability was presented. Four different approaches on diagnosability of DESs were analyzed: the problem of diagnosability of discrete event systems subject to permanent sensor failures (i); the problem of robust diagnosis of discrete event systems against permanent (ii) and intermittent (iii) loss of observations; and the problem of verification of robust diagnosability for partially observed discrete event systems (iv). Transformation mechanisms for each analyzed problem were proposed with the purpose of demonstrating that all approaches (i) - (iv) are particular cases of the generalized robust diagnosability definition proposed in this work.Este trabalho aborda o problema de diagnosticabilidade robusta generalizada (DRG) de sistemas a eventos discretos (SEDs) descritos por uma classe de autômatos em que cada elemento da classe gera uma linguagem distinta. A definição de DRG e o algoritmo para sua verificação propostos anteriormente na literatura foram atualizados, resultando em um novo algoritmo com menor complexidade computacional que o anterior. Baseado nesse algoritmo, uma nova condição necessária e suficiente para diagnosticabilidade robusta generalizada foi apresentada. Quatro abordagens diferentes sobre diagnosticabilidade de SEDs foram analisadas: o problema de diagnosticabilidade de sistemas a eventos discretos sujeitos a falhas permanentes de sensores (i); o problema de diagnosticabilidade robusta de sistemas a eventos discretos sujeitos a perdas permanentes (ii) e intermitentes (iii) de observação; e o problema de verificação da diagnosticabilidade robusta de sistemas a eventos discretos parcialmente observados (iv). Mecanismos de transformação foram propostos para cada problema analisado com o objetivo de demonstrar que as abordagens de (i) a (iv) são casos particulares da diagnosticabilidade robusta generalizada proposta nesse trabalho.Universidade Federal do Rio de JaneiroBrasilInstituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de EngenhariaPrograma de Pós-Graduação em Engenharia ElétricaUFRJCarvalho, Lilian Kawakamihttp://lattes.cnpq.br/6331538839245969Pena, Patrícia NascimentoMoreira, Marcos Vicente de BritoCoutinho, Lahis El Ajouze Azeredo2019-01-15T14:12:25Z2023-12-21T03:05:35Z2017-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/11422/6094enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ2023-12-21T03:05:35Zoai:pantheon.ufrj.br:11422/6094Repositório InstitucionalPUBhttp://www.pantheon.ufrj.br/oai/requestpantheon@sibi.ufrj.bropendoar:2023-12-21T03:05:35Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Verification of generalized robust diagnosability of discrete event systems
Verificação da diagnosticabilidade robusta generalizada de sistemas a eventos discretos
title Verification of generalized robust diagnosability of discrete event systems
spellingShingle Verification of generalized robust diagnosability of discrete event systems
Coutinho, Lahis El Ajouze Azeredo
Sistemas discretos
Diagnóstico
Algoritmos
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::MEDIDAS ELETRICAS, MAGNETICAS E ELETRONICAS INSTRUMENTACAO::SISTEMAS ELETRONICOS DE MEDIDA E DE CONTROLE
title_short Verification of generalized robust diagnosability of discrete event systems
title_full Verification of generalized robust diagnosability of discrete event systems
title_fullStr Verification of generalized robust diagnosability of discrete event systems
title_full_unstemmed Verification of generalized robust diagnosability of discrete event systems
title_sort Verification of generalized robust diagnosability of discrete event systems
author Coutinho, Lahis El Ajouze Azeredo
author_facet Coutinho, Lahis El Ajouze Azeredo
author_role author
dc.contributor.none.fl_str_mv Carvalho, Lilian Kawakami
http://lattes.cnpq.br/6331538839245969
Pena, Patrícia Nascimento
Moreira, Marcos Vicente de Brito
dc.contributor.author.fl_str_mv Coutinho, Lahis El Ajouze Azeredo
dc.subject.por.fl_str_mv Sistemas discretos
Diagnóstico
Algoritmos
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::MEDIDAS ELETRICAS, MAGNETICAS E ELETRONICAS INSTRUMENTACAO::SISTEMAS ELETRONICOS DE MEDIDA E DE CONTROLE
topic Sistemas discretos
Diagnóstico
Algoritmos
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::MEDIDAS ELETRICAS, MAGNETICAS E ELETRONICAS INSTRUMENTACAO::SISTEMAS ELETRONICOS DE MEDIDA E DE CONTROLE
description This work addresses the problem of generalized robust diagnosability (GRD) of discrete event systems (DESs) described by a class of automata, where each automaton in the class generates a distinct language. The definition of GRD and the algorithm for its verification previously proposed in literature were updated, resulting in an algorithm with smaller computational complexity than the previous one. Based on this algorithm, a new necessary and sufficient condition for generalized robust diagnosability was presented. Four different approaches on diagnosability of DESs were analyzed: the problem of diagnosability of discrete event systems subject to permanent sensor failures (i); the problem of robust diagnosis of discrete event systems against permanent (ii) and intermittent (iii) loss of observations; and the problem of verification of robust diagnosability for partially observed discrete event systems (iv). Transformation mechanisms for each analyzed problem were proposed with the purpose of demonstrating that all approaches (i) - (iv) are particular cases of the generalized robust diagnosability definition proposed in this work.
publishDate 2017
dc.date.none.fl_str_mv 2017-06
2019-01-15T14:12:25Z
2023-12-21T03:05:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/11422/6094
url http://hdl.handle.net/11422/6094
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia Elétrica
UFRJ
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia Elétrica
UFRJ
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRJ
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Repositório Institucional da UFRJ
collection Repositório Institucional da UFRJ
repository.name.fl_str_mv Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv pantheon@sibi.ufrj.br
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