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Automatic tuning of PID controllers using a neuro-genetic system

dc.contributor.authorRuano, Antonio
dc.contributor.authorLima, João
dc.contributor.authorAzevedo, Ana Beatriz da Piedade de
dc.contributor.authorDuarte, N. M.
dc.contributor.authorFleming, P. J.
dc.date.accessioned2013-02-12T12:13:43Z
dc.date.available2013-02-12T12:13:43Z
dc.date.issued1999
dc.date.updated2013-01-28T09:48:43Z
dc.description.abstractNeural networks and genetic algorithms have been in the past successfully applied, separately, to controller turning problems. In this paper we propose to combine its joint use, by exploiting the nonlinear mapping capabilites of neural networks to model objective functions, and to use them to supply their values to a genetic algorithm which performs on-line minimization.pt_PT
dc.identifier.citationRuano, A. E.; Lima, J. M. G.; Azevedo, A. B.; Duarte, N. M.; Fleming, Peter J. Automatic Tuning of PID Controllers using a Neuro-Genetic System, Trabalho apresentado em 14th IFAC World Congress, In 14th IFAC World Congress, Beijing, 1999.por
dc.identifier.isbn0-08-043248-4
dc.identifier.otherAUT: ARU00698; JLI00543; AAZ00771;
dc.identifier.urihttp://hdl.handle.net/10400.1/2318
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectNeural Networkspor
dc.subjectGenetic Algorithmspor
dc.subjectPid-autotuningpor
dc.titleAutomatic tuning of PID controllers using a neuro-genetic systempor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBeijingpor
oaire.citation.title14th IFAC World Congresspor
person.familyNameRuano
person.familyNameLima
person.givenNameAntonio
person.givenNameJoão
person.identifier.ciencia-idF319-672D-5416
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0003-3561-4267
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublicationd96029c0-7218-497d-978c-fc61b85d1fb2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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