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B-splines neural network assisted PID autotuning

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dc.contributor.authorRuano, Antonio
dc.contributor.authorAzevedo, Ana Beatriz da Piedade de
dc.date.accessioned2013-02-04T14:03:33Z
dc.date.available2013-02-04T14:03:33Z
dc.date.issued1999
dc.date.updated2013-01-28T09:50:08Z
dc.description.abstractThis papers describes an extantion of previous works on the subject of neural network proportional, integral and derivative (PID) autotuning. Basically, neural networks are employed to supply the three PID parameters, according to the integral of time multiplied by the absolute error (ITAE) criterion, to a standard PID controller.pt_PT
dc.identifier.citationRuano, António E.; Azevedo, Ana B. B-splines neural network assisted PID autotuning, International Journal of Adaptive Control and Signal Processing, 13, 4, 291-306, 1999.por
dc.identifier.doihttp://dx.doi.org/10.1002/(SICI)1099-1115(199906)13:4<291::AID-ACS54
dc.identifier.issn0890-6327
dc.identifier.otherAUT: ARU00698; AAZ00771;
dc.identifier.urihttp://hdl.handle.net/10400.1/2201
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectPID autotuningpor
dc.subjectNeural networkspor
dc.subjectB-splinespor
dc.subjectGenetic algorithmspor
dc.subjectAdaptive systemspor
dc.titleB-splines neural network assisted PID autotuningpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage306por
oaire.citation.issue4por
oaire.citation.startPage291por
oaire.citation.titleInternational Journal of Adaptive Control and Signal Processingpor
oaire.citation.volume13por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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