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dc.contributor.advisorCellier, Francois E.en_US
dc.contributor.authorVesanterä, Pentti Juhani, 1955-
dc.creatorVesanterä, Pentti Juhani, 1955-en_US
dc.date.accessioned2013-05-16T09:23:51Z
dc.date.available2013-05-16T09:23:51Z
dc.date.issued1988en_US
dc.identifier.urihttp://hdl.handle.net/10150/291407
dc.description.abstractAs a decision making aid for the human operator of a highly automated, complex system, qualitative modeling is presented as a tool to mimic the human global assessment process by learning from the system behavior. Such qualitative model is applied to reason about the behavior of a quantitatively simulated aircraft model, to determine on-line when a malfunction occurs in the quantitative model, to hypothesize about the nature of this malfunction, and to suggest a global strategy that would allow to operate (control) the quantitative aircraft under the modified flying conditions. Such an algorithm could be utilized as an addition to a conventional autopilot which would allow it to remain operational after a malfunction has taken place.
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.subjectAirplanes -- Control systems.en_US
dc.subjectFlight control -- Computer simulation.en_US
dc.titleQualitative simulation: A tool for global decision makingen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.identifier.oclc22572428en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.identifier.proquest1335705en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.nameM.S.en_US
dc.identifier.bibrecord.b17456733en_US
refterms.dateFOA2018-07-06T04:06:07Z
html.description.abstractAs a decision making aid for the human operator of a highly automated, complex system, qualitative modeling is presented as a tool to mimic the human global assessment process by learning from the system behavior. Such qualitative model is applied to reason about the behavior of a quantitatively simulated aircraft model, to determine on-line when a malfunction occurs in the quantitative model, to hypothesize about the nature of this malfunction, and to suggest a global strategy that would allow to operate (control) the quantitative aircraft under the modified flying conditions. Such an algorithm could be utilized as an addition to a conventional autopilot which would allow it to remain operational after a malfunction has taken place.


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