Closed-Loop Fluid Resuscitation: In-Silico Study

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dc.contributor.advisorHahn, Jin-Ohen_US
dc.contributor.authorLucas, Jonen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2016-02-09T06:36:58Z
dc.date.available2016-02-09T06:36:58Z
dc.date.issued2015en_US
dc.description.abstractThis thesis validates a control-oriented model of human circulatory dynamics associated with hemorrhage and fluid resuscitation, uses this model to design a series of closed-loop controllers for fluid resuscitation, and demonstrates the viability of these controllers by examining the performance of these controllers in an established model of human cardiovascular physiology. First, a recently developed control-oriented model of hemorrhage and fluid resuscitation was validated across diverse physiological conditions using an established model of human cardiovascular physiology, by employing a system identification procedure. Second, a series of closed-loop controllers were designed based on the nominal control-oriented model, including proportional control and proportional-derivative control based on the root locus analysis, as well as observer-based optimal state feedback control based on modern control theory. Third, the performance and robustness of the designed closed-loop controllers were validated using the established model of human cardiovascular physiology. The results suggested that model-based closed-loop control may be a viable alternative to today’s manual fluid infusion practices.en_US
dc.identifierhttps://doi.org/10.13016/M2FQ5T
dc.identifier.urihttp://hdl.handle.net/1903/17389
dc.language.isoenen_US
dc.subject.pqcontrolledMechanical engineeringen_US
dc.subject.pquncontrolledblood volume dynamicsen_US
dc.subject.pquncontrolledclosed-loop fluid resuscitationen_US
dc.subject.pquncontrolledcontrol-oriented blood volumeen_US
dc.titleClosed-Loop Fluid Resuscitation: In-Silico Studyen_US
dc.typeThesisen_US

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