Publicação
Quadratic optimal fuzzy control
| Resumo: | One presents a fuzzy logic approach for optimal control of discrete-time nonlinear dynamic systems with a quadratic criterion. The approach is based on Pontryagin’s Minimum Principle. Using back propagation from the final co-state error and gradient descent, a method is devised which allows for training an adaptive fuzzy inference system to estimate values for the co-state variables converging to the optimal ones. In turn this implies that the controlled variables trajectories also converge to the optimal ones. The approach allows finding a solution to the optimal control problem on-line, by training of the system, rather than by pre computing it. In particular, the use of an adaptive fuzzy inference system also will allow incorporating a priori knowledge about the optimal behavior of the co-state variable and track changes in the system. |
|---|---|
| Autores principais: | Salgado, Paulo |
| Outros Autores: | Igrejas, Getúlio; Garrido, Paulo |
| Assunto: | Fuzzy systems Optimal |
| Ano: | 2006 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172755141558272 |
|---|---|
| author | Salgado, Paulo |
| author2 | Igrejas, Getúlio Garrido, Paulo |
| author2_role | author author |
| author_facet | Salgado, Paulo Igrejas, Getúlio Garrido, Paulo |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Salgado, Paulo\"},{\"Person.name\":\"Igrejas, Getúlio\",\"Person.identifier.orcid\":\"0000-0002-6820-8858\"},{\"Person.name\":\"Garrido, Paulo\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Salgado, Paulo Igrejas, Getúlio Garrido, Paulo |
| datacite.date.Accepted.fl_str_mv | 2006-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2010-11-09T15:37:30Z |
| datacite.date.embargoed.fl_str_mv | 2010-11-09T15:37:30Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Fuzzy systems Optimal |
| datacite.titles.title.fl_str_mv | Quadratic optimal fuzzy control |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Salgado, Paulo Igrejas, Getúlio Garrido, Paulo |
| dc.date.Accepted.fl_str_mv | 2006-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2010-11-09T15:37:30Z |
| dc.date.embargoed.fl_str_mv | 2010-11-09T15:37:30Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/2751 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Fuzzy systems Optimal |
| dc.title.fl_str_mv | Quadratic optimal fuzzy control |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | One presents a fuzzy logic approach for optimal control of discrete-time nonlinear dynamic systems with a quadratic criterion. The approach is based on Pontryagin’s Minimum Principle. Using back propagation from the final co-state error and gradient descent, a method is devised which allows for training an adaptive fuzzy inference system to estimate values for the co-state variables converging to the optimal ones. In turn this implies that the controlled variables trajectories also converge to the optimal ones. The approach allows finding a solution to the optimal control problem on-line, by training of the system, rather than by pre computing it. In particular, the use of an adaptive fuzzy inference system also will allow incorporating a priori knowledge about the optimal behavior of the co-state variable and track changes in the system. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/4f77743d-e31e-421e-8184-b31f7e0743c3/download |
| id | ipb_6a7a0ea7be841b59e9f2e287fb73b1d0 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/2751 |
| 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:10198/2751 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Salgado, Paulo Igrejas, Getúlio Igrejas, Getúlio http://orcid.org/0000-0002-6820-8858 0000-0002-6820-8858 Garrido, Paulo |
| publishDate | 2006 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engporOne presents a fuzzy logic approach for optimal control of discrete-time nonlinear dynamic systems with a quadratic criterion. The approach is based on Pontryagin’s Minimum Principle. Using back propagation from the final co-state error and gradient descent, a method is devised which allows for training an adaptive fuzzy inference system to estimate values for the co-state variables converging to the optimal ones. In turn this implies that the controlled variables trajectories also converge to the optimal ones. The approach allows finding a solution to the optimal control problem on-line, by training of the system, rather than by pre computing it. In particular, the use of an adaptive fuzzy inference system also will allow incorporating a priori knowledge about the optimal behavior of the co-state variable and track changes in the system.application/pdfporQuadratic optimal fuzzy controlSalgado, PauloPersonalIgrejas, GetúlioDSpacehttp://dspace.org/items/ab4092ec-d1b1-4fe0-b65a-efba1310fd5aDSpacehttp://dspace.org/items/ab4092ec-d1b1-4fe0-b65a-efba1310fd5aIgrejasGetúlioORCIDhttp://orcid.org0000-0002-6820-8858Researcher IDhttps://www.researcherid.comM-8571-2013Scopus Author IDhttps://www.scopus.com47761255900Garrido, PauloHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2010-11-09T15:37:30Z20062006-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/2751http://purl.org/coar/access_right/c_abf2open accessFuzzy systemsOptimal809276 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/4f77743d-e31e-421e-8184-b31f7e0743c3/download2006 ANIPLA International Congress on Methodologies for Emerging Technologies in AutomationRoma |
| spellingShingle | Quadratic optimal fuzzy control Salgado, Paulo Fuzzy systems Optimal |
| status | SINGLETON |
| subject.fl_str_mv | Fuzzy systems Optimal |
| title | Quadratic optimal fuzzy control |
| title_full | Quadratic optimal fuzzy control |
| title_fullStr | Quadratic optimal fuzzy control |
| title_full_unstemmed | Quadratic optimal fuzzy control |
| title_short | Quadratic optimal fuzzy control |
| title_sort | Quadratic optimal fuzzy control |
| topic | Fuzzy systems Optimal |
| topic_facet | Fuzzy systems Optimal |
| url | http://hdl.handle.net/10198/2751 |
| visible | 1 |