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A Tunable high-static-low-dynamic-stiffness isolator and a fuzzy-neural network based active control isolator

dc.contributor.advisorLiu, Kefu
dc.contributor.authorZhou, Naibiao
dc.date.accessioned2012-11-10T19:40:01Z
dc.date.available2012-11-10T19:40:01Z
dc.date.created2009
dc.date.issued2009
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/174
dc.description.abstractExcessive vibration can be detrimental to a wide variety of structures and machines. Vibration isolation is an effective means to suppress vibration. This study focuses on development of some new techniques to improve performance of vibration isolators. The thesis consists of two parts. In the first part, a novel vibration isolator is developed. In the second part, an adaptive fuzzy-neutral network (FNN) controller is applied to active isolators.en_US
dc.language.isoen_USen_US
dc.subjectControlen_US
dc.subjectDamping (Mechanics)en_US
dc.subjectFuzzy-neural network
dc.subjectVibration isolation
dc.titleA Tunable high-static-low-dynamic-stiffness isolator and a fuzzy-neural network based active control isolatoren_US
dc.typeThesisen_US
etd.degree.nameMaster of Science
etd.degree.levelMasteren_US
etd.degree.disciplineEngineering : Controlen_US
etd.degree.grantorLakehead Universityen_US


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