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dc.contributor.authorFerreiro García, Ramón
dc.contributor.authorHaro Casado, Manuel
dc.contributor.authorVelasco González, Francisco Jesús 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2014-03-06T11:14:35Z
dc.date.available2014-03-06T11:14:35Z
dc.date.issued2005-12
dc.identifier.issn1697-4840
dc.identifier.issn1697-9133
dc.identifier.urihttp://hdl.handle.net/10902/4379
dc.description.abstractMost of non-linear type one and type two control systems suffers from lack of detectability when model based techniques are applied on fault detection and isolation (FDI) tasks. This research is centred on frequency techniques applied to identity ship´s model parameters (PI) including non-structured or partially known structured models using backpropagation neural networks as functional approximators. The results of the comparison of two strategies based in frequency techniques are presented. Such frequency techniques are: Mapping the frequency response associated to system parameters when a closed loop controlled ship is excited by the well-known harmonic balance tests (HBT). Mapping the frequency response associated to system parameters when closed loop controlled ship is excited by a group of sinusoidal inputs added to the manipulated variable (CLFRT). With achieved frequency response mappings, system parameters are associated by means of functional approximation techniques. In this case, Feedforward neural networks trained with backpropagation conjugate gradient algorithm are massively use. Finally, PI results are used in FDI tasks, where nominal plant parameters are matched against on-line estimated parameters on a parity space approaches_ES
dc.format.extent20 pes_ES
dc.language.isoenges_ES
dc.publisherSociedad Española de Estudios Cientificos Marinos (SEECMAR)es_ES
dc.rights© Journal of Maritime Researches_ES
dc.sourceJournal of Maritime Research, 2005, 2(3), 21-40es_ES
dc.subject.otherBackpropagationes_ES
dc.subject.otherConjugate gradientes_ES
dc.subject.otherParameter identificationes_ES
dc.subject.otherFault detectiones_ES
dc.subject.otherFrequency responsees_ES
dc.subject.otherHarmonic balancees_ES
dc.subject.otherNeural Networkses_ES
dc.titleComparison of two PI methods applied to FDI on ships dynamicses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttp://www.jmr.unican.es/pub/00203/0020302.pdfes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versionpublishedVersiones_ES


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