Publicação
Optimization of a fuzzy logic controller for MR dampers using ANFIS
| Resumo: | Fuzzy controllers have been successfully applied to a wide range of engineering problems due its robustness and the ability to deal with non-linear plants. Despite the inherent advantages of these controllers, there is no systematic technique for converting human knowledge into the rule base of a fuzzy inference system. Adaptive neuro-fuzzy inference system (ANFIS) is an artificial intelligence technique that has been successfully used for mapping input-output relationships based on available data sets, i.e., to automatically adjust a fuzzy inference system with a backpropagation algorithm based on training data. This paper presents the application of a ANFIS model to optimize the parameters of a fuzzy controller for structural control of a building structure using a MR damper. The results obtained with the neurofuzzy controller are compared with those of a passive control modes to assess the performance of the proposed control system in reducing the seismic response of the structure. |
|---|---|
| Autores principais: | Braz-César, Manuel |
| Outros Autores: | Barros, Rui |
| Assunto: | Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| Ano: | 2015 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172928382042112 |
|---|---|
| author | Braz-César, Manuel |
| author2 | Barros, Rui |
| author2_role | author |
| author_facet | Braz-César, Manuel Barros, Rui |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Braz-César, Manuel\",\"Person.identifier.orcid\":\"0000-0001-5640-0714\"},{\"Person.name\":\"Barros, Rui\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Braz-César, Manuel Barros, Rui |
| datacite.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-05-02T09:52:52Z |
| datacite.date.embargoed.fl_str_mv | 2018-05-02T09:52:52Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| datacite.titles.title.fl_str_mv | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Braz-César, Manuel Barros, Rui |
| dc.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-05-02T09:52:52Z |
| dc.date.embargoed.fl_str_mv | 2018-05-02T09:52:52Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/17547 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Universidade da Beira Interior |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| dc.title.fl_str_mv | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_c94f |
| description | Fuzzy controllers have been successfully applied to a wide range of engineering problems due its robustness and the ability to deal with non-linear plants. Despite the inherent advantages of these controllers, there is no systematic technique for converting human knowledge into the rule base of a fuzzy inference system. Adaptive neuro-fuzzy inference system (ANFIS) is an artificial intelligence technique that has been successfully used for mapping input-output relationships based on available data sets, i.e., to automatically adjust a fuzzy inference system with a backpropagation algorithm based on training data. This paper presents the application of a ANFIS model to optimize the parameters of a fuzzy controller for structural control of a building structure using a MR damper. The results obtained with the neurofuzzy controller are compared with those of a passive control modes to assess the performance of the proposed control system in reducing the seismic response of the structure. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/49e1a038-8d0b-4ecf-8d10-f1c30a3a3256/download |
| id | ipb_4bf4bcde46ec4fbfbfb71cda0894c4b8 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/17547 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/17547 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Braz-César, Manuel Braz-César, Manuel https://www.ciencia-id.pt/5C10-B764-22E3 5C10-B764-22E3 http://orcid.org/0000-0001-5640-0714 0000-0001-5640-0714 Barros, Rui |
| publishDate | 2015 |
| publisher.none.fl_str_mv | Universidade da Beira Interior |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engUniversidade da Beira Interiorpt_PTFuzzy controllers have been successfully applied to a wide range of engineering problems due its robustness and the ability to deal with non-linear plants. Despite the inherent advantages of these controllers, there is no systematic technique for converting human knowledge into the rule base of a fuzzy inference system. Adaptive neuro-fuzzy inference system (ANFIS) is an artificial intelligence technique that has been successfully used for mapping input-output relationships based on available data sets, i.e., to automatically adjust a fuzzy inference system with a backpropagation algorithm based on training data. This paper presents the application of a ANFIS model to optimize the parameters of a fuzzy controller for structural control of a building structure using a MR damper. The results obtained with the neurofuzzy controller are compared with those of a passive control modes to assess the performance of the proposed control system in reducing the seismic response of the structure.application/pdfpt_PTOptimization of a fuzzy logic controller for MR dampers using ANFISPersonalBraz-César, ManuelDSpacehttp://dspace.org/items/a99f08f6-5b97-4571-a6e4-07dee53fb527DSpacehttp://dspace.org/items/a99f08f6-5b97-4571-a6e4-07dee53fb527Braz-CésarManuelCiência IDhttps://www.ciencia-id.pt5C10-B764-22E3ORCIDhttp://orcid.org0000-0001-5640-0714Scopus Author IDhttps://www.scopus.com53663179600Barros, RuiHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-989-654-259-72018-05-02T09:52:52Z20152015-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/17547http://purl.org/coar/access_right/c_abf2open accessFuzzy controlSemi-active controlMR dampersStructural dynamicsANFIS1442920 bytesother research producthttp://purl.org/coar/resource_type/c_c94fconference object2015http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/49e1a038-8d0b-4ecf-8d10-f1c30a3a3256/downloadICEUBI2015 - International Conference on Engineering University da Beira Interior “Engineering for Society”Covilhã |
| spellingShingle | Optimization of a fuzzy logic controller for MR dampers using ANFIS Braz-César, Manuel Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| status | SINGLETON |
| subject.fl_str_mv | Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| title | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| title_full | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| title_fullStr | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| title_full_unstemmed | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| title_short | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| title_sort | Optimization of a fuzzy logic controller for MR dampers using ANFIS |
| topic | Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| topic_facet | Fuzzy control Semi-active control MR dampers Structural dynamics ANFIS |
| url | http://hdl.handle.net/10198/17547 |
| visible | 1 |