The evoluation of 'Boxes' to quantized inductive learning: a study in inductive learning

dc.contributor.authorPascoe, Jamesen
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2014-03-14T21:51:48Zen
dc.date.adate2008-12-17en
dc.date.available2014-03-14T21:51:48Zen
dc.date.issued1996en
dc.date.rdate2008-12-17en
dc.date.sdate2008-12-17en
dc.description.abstractAn inductive learning method is analyzed for use in on-line control. The controller has the benefit of being designed without a system model and is able to adapt itself to varying system parameters. Numerical experiments were performed with the Quantized Inductive Learning (QIL) algorithm, an extension of ‘Boxes’, on simple linear systems and a simulated simply supported aluminum beam. Concurrent with the simulations, a theoretical analysis of the learning mechanism was generated. The evaluation of several issues with the algorithm (performance indices, sampling periods, and level of quantizations) were studied to validate the theory. A comparison with state feedback was used to compare the effectiveness of this method with traditional model-based approaches. The results indicate the method learns a control function which moves the system from an arbitrary initial condition to equilibrium or rejects a sinusoidal disturbance. In both cases, the control is learned in absence of an a priori system model.en
dc.description.degreeMaster of Scienceen
dc.format.extentvi, 57 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-12172008-063016en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12172008-063016/en
dc.identifier.urihttp://hdl.handle.net/10919/46268en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1996.P379.pdfen
dc.relation.isformatofOCLC# 36222479en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectartificial intelligenceen
dc.subjectMachine learningen
dc.subjectdamage controlen
dc.subject.lccLD5655.V855 1996.P379en
dc.titleThe evoluation of 'Boxes' to quantized inductive learning: a study in inductive learningen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen
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