Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/174
Title: A Tunable high-static-low-dynamic-stiffness isolator and a fuzzy-neural network based active control isolator
Authors: Zhou, Naibiao
Keywords: Control;Damping (Mechanics);Fuzzy-neural network;Vibration isolation
Issue Date: 2009
Abstract: Excessive 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.
URI: http://knowledgecommons.lakeheadu.ca/handle/2453/174
metadata.etd.degree.discipline: Engineering : Control
metadata.etd.degree.name: Master of Science
metadata.etd.degree.level: Master
metadata.dc.contributor.advisor: Liu, Kefu
Appears in Collections:Electronic Theses and Dissertations from 2009

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