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Identification of aircraft gas-turbine dynamics using B-splines neural networks

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dc.contributor.authorLopes, J. C.
dc.contributor.authorRuano, Antonio
dc.contributor.authorFleming, P. J.
dc.date.accessioned2013-02-04T14:57:23Z
dc.date.available2013-02-04T14:57:23Z
dc.date.issued2000
dc.date.updated2013-01-28T09:23:54Z
dc.description.abstractThis paper describes preliminary results regarding the development of a B-splines neural network model of the fuel feed to shaft-speed dynamics of a twin-shaft gas turbine engine. Data recorded from practical testing of the turbine to a multisine input were employed, and models were identified at different points along the turbine operating curve. B-splines neural networks have been found to be good models of the system, delivering good results especially for long-range predictions.por
dc.identifier.citationLopes, J. C.; Ruano, A. E.; Fleming, P. J. Identification of aircraft gas-turbine dynamics using B-splines neural networks, Trabalho apresentado em 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC' 00), In 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC' 00), Palma de Mallorca, 2000.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2209
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectGas Turbinespor
dc.subjectSystems Identificationpor
dc.subjectNeural Networkspor
dc.titleIdentification of aircraft gas-turbine dynamics using B-splines neural networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePalma de Mallorcapor
oaire.citation.endPage128por
oaire.citation.startPage123por
oaire.citation.title6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC' 00)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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