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dc.contributor.advisorTharp, Hal S.en_US
dc.contributor.authorDeBease, Amy Jo, 1967-
dc.creatorDeBease, Amy Jo, 1967-en_US
dc.date.accessioned2013-04-03T13:18:52Z
dc.date.available2013-04-03T13:18:52Z
dc.date.issued1993en_US
dc.identifier.urihttp://hdl.handle.net/10150/278270
dc.description.abstractThis thesis investigates several different control techniques as applied to hyperthermia-based models. These control techniques are control switching, Model Reference Adaptive Control, and Self Tuning Regulators. These three techniques are compared to a conventional PI controller. The objective of each controller is to regulate three temperatures associated with models which represent a three region tissue volume using a single input. Consideration is given to different types of blood perfusion levels as well as restrictions placed on the flexibility of the input power. This thesis shows that during simulations of the hyperthermia treatments, the Self Tuning Regulator technique is more effective at regulating the temperatures.
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectEngineering, Electronics and Electrical.en_US
dc.subjectHealth Sciences, Public Health.en_US
dc.titleComparison of adaptive control techniques for hyperthermiaen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.identifier.proquest1352306en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.identifier.bibrecord.b26931448en_US
refterms.dateFOA2018-08-16T00:57:55Z
html.description.abstractThis thesis investigates several different control techniques as applied to hyperthermia-based models. These control techniques are control switching, Model Reference Adaptive Control, and Self Tuning Regulators. These three techniques are compared to a conventional PI controller. The objective of each controller is to regulate three temperatures associated with models which represent a three region tissue volume using a single input. Consideration is given to different types of blood perfusion levels as well as restrictions placed on the flexibility of the input power. This thesis shows that during simulations of the hyperthermia treatments, the Self Tuning Regulator technique is more effective at regulating the temperatures.


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