Self-constructing Sugeno type adaptive fuzzy neural network for two-axis motion control system

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32102

Title:	Self-constructing Sugeno type adaptive fuzzy neural network for two-axis motion control system
Authors:	Lin,Faa-Jeng;Chou,Po-Huan
Contributors:	電機工程研究所
Keywords:	POSITION CONTROL;MOTOR DRIVE;TABLE;IDENTIFICATION;COMPENSATION;SERVO
Date:	2007
Issue Date:	2010-07-06 18:18:39 (UTC+8)
Publisher:	中央大學
Abstract:	A self-constructing Sugeno type adaptive fuzzy neural network (SAFNN) control system is proposed in this Study for the contour tracking control of a two-axis motion control system. The adopted two-axis motion control system is composed of two permanent ma
Relation:	JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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