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Neural networks assisted PID autotuning

dc.contributor.authorAzevedo, Ana Beatriz da Piedade de
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-02T11:04:26Z
dc.date.available2013-02-02T11:04:26Z
dc.date.issued1997
dc.date.updated2013-01-28T10:17:20Z
dc.description.abstractThe Proportional, Integral and Derivative (PID) controllers are standard building blocks for industrial automation. Their popularity comes from their rebust performance and also from their functional simplicity.pt_PT
dc.identifier.citationAzevedo, A. B.; Ruano, A. E. Neural Networks Assisted PID Autotuning, Trabalho apresentado em Int. Conf. on Engineering Applications of Neural Networks (EANN’97),, In Int. Conf. on Engineering Applications of Neural Networks (EANN’97), Stockholm, 1997.por
dc.identifier.otherAUT: AAZ00771; ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2188
dc.language.isoengpor
dc.peerreviewedyespor
dc.titleNeural networks assisted PID autotuningpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceStockholmpor
oaire.citation.endPage420por
oaire.citation.startPage417por
oaire.citation.titleInternational Conference on Engineering Applications of Neural Networks (EANN’97)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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