Neural network identification of quarter-car passive and active suspension systems

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dc.contributor.authorTran, Michaelen
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T21:46:33Zen
dc.date.adate2009-09-29en
dc.date.available2014-03-14T21:46:33Zen
dc.date.issued1992en
dc.date.rdate2009-09-29en
dc.date.sdate2009-09-29en
dc.description.abstractMuch research effort has been done on the design of active suspension systems based on a quarter-car model with both full-state feedback and incomplete state feedback controllers to optimize the passenger ride comfort, road handling and car controlling. Linear stochastic optimal control will be employed to design an active controller in vehicle active suspension model. The active suspension model will be simulated and compared with the car's passive suspension model. Backpropagation neural networks then will be used to identify the passive suspension model with full state or incomplete state measurements. The accurate identification of the suspension system employing neural networks is used to reduce the number of sensors needed over full-state measurements.en
dc.description.degreeMaster of Scienceen
dc.format.extentvii, 114 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-09292009-020158en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09292009-020158/en
dc.identifier.urihttp://hdl.handle.net/10919/44926en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1992.T736.pdfen
dc.relation.isformatofOCLC# 26819946en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1992.T736en
dc.subject.lcshAutomobiles -- Springs and suspensionen
dc.subject.lcshNeural networks (Computer science)en
dc.titleNeural network identification of quarter-car passive and active suspension systemsen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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