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dc.contributor.advisorPérez Zúñiga, Carlos Gustavo
dc.contributor.authorGriesing-Scheiwe, Fritjofes_ES
dc.date.accessioned2019-01-24T21:03:08Zes_ES
dc.date.available2019-01-24T21:03:08Zes_ES
dc.date.created2018es_ES
dc.date.issued2019-01-21es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12404/13295
dc.description.abstractIn modern industrial applications, sensors are an expensive part of installed systems. Nevertheless, many system variables cannot be measured sufficiently frequently or accurately. Thus, soft sensors have been developed to estimate those variables without the expense of additional hardware. The use of a soft sensor with a bias update term has shown to perform well for disturbed systems with time delays and multirate sampling times. In industrial application, the time delay and sampling times often vary. Yet, the case of variation of the time delay and sampling time in the bias update term has not been considered in previous publications. This thesis tests a soft sensor with bias update term in simulation and gives a modification yielding better performance. It is shown that the tested method gives unstable results. Hence, a more general method with a bias update term that considers all possible sampling times in each step is proposed, giving stable results in simulation. Furthermore, the stability of the general method is proven mathematically by building a state space representation and applyinges_ES
dc.description.uriTesises_ES
dc.language.isoenges_ES
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-sa/2.5/pe/*
dc.subjectSensores--Programas para computadorases_ES
dc.subjectSensores--Computación flexiblees_ES
dc.subjectControl de procesoses_ES
dc.titleIrregularly sampled data in the design of a soft sensor system: some preliminary resultses_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
thesis.degree.nameMaestro en Ingeniería de Control y Automatizaciónes_ES
thesis.degree.levelMaestríaes_ES
thesis.degree.grantorPontificia Universidad Católica del Perú. Escuela de Posgradoes_ES
thesis.degree.disciplineIngeniería de Control y Automatizaciónes_ES
renati.advisor.dni41864666
renati.discipline712037es_ES
renati.levelhttps://purl.org/pe-repo/renati/level#maestroes_ES
renati.typehttp://purl.org/pe-repo/renati/type#tesises_ES
dc.publisher.countryPEes_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.03es_ES


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