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dc.creatorNelson, David Leo
dc.date.available2011-02-18T21:17:30Z
dc.date.issued1988-12
dc.identifier.urihttp://hdl.handle.net/2346/15872en_US
dc.description.abstractInvestigation is made into treating the noncausal open-loop command generator for a totally automatic controller of the TAFCOS-type as a tree-search problem in artificial intelligence. Discussion is given of earlier dynamic-optimization and optimal-control approaches. It is the purpose of this work to create a software bed for achieving, in a command generator, heuristic open-loop control actions similar to humans, and thus to relieve downstream "ignorant" closed loop controllers of responsibility for dealing with large errors. Emphasis is on an "Edisonian"—in contrast to a "Newtonian"—approach. Appendices contain a simple Riccatiequation solver, two different search prototypes in BASIC, and a more general tree-based command generator in C, with a Users' Guide.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.subjectCommand and control systemsen_US
dc.subjectQuadratic programming -- Computer programsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectDynamic programming -- Computer programsen_US
dc.subjectAutomatic control -- Computer programsen_US
dc.subjectHeuristic programming -- Computer programsen_US
dc.subjectFlight controlen_US
dc.subjectGuidance systems (Flight)en_US
dc.titleCommand generation by tree search in artificial intelligence
dc.typeDissertation
thesis.degree.namePh.D.
thesis.degree.levelDoctoral
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorTexas Tech University
thesis.degree.departmentElectrical and Computer Engineering
dc.degree.departmentElectrical and Computer Engineeringen_US
dc.rights.availabilityUnrestricted.


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