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A neural network controller

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dc.contributor.authorRuano, Antonio
dc.contributor.authorJones, D. I.
dc.contributor.authorFleming, P. J.
dc.date.accessioned2013-02-12T14:04:46Z
dc.date.available2013-02-12T14:04:46Z
dc.date.issued1991
dc.date.updated2013-01-28T16:06:29Z
dc.description.abstractProportional, Integral and Derivative (PID) regulators are standard building blocks for industrial automation. The popularity of these regulators comes from their rebust performance in a wide range of operating conditions, and also from their functional simplicity, which makes them suitable for manual tuning.pt_PT
dc.identifier.citationRuano, A. E. B.; Jones, D. I; Fleming, P. J. A Neural Network Controller, Trabalho apresentado em IFAC Workshop on Algorithms and Architectures for Real-Time Control, In IFAC Workshop on Algorithms and Architectures for Real-Time Control, Bangor, 1991.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2321
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectPid autotuningpor
dc.subjectParallel processingpor
dc.subjectNeural networkspor
dc.subjectAdaptive controlpor
dc.subjectMultilayer perceptronspor
dc.subjectOCCAMpor
dc.titleA neural network controllerpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBangorpor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.titleIFAC Workshop on Algorithms and Architectures for Real-Time Controlpor
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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