Self-organizing adaptive fuzzy neural control for a class of nonlinear systems

CHUR > College of Engineering > Department of Electrical Engineering > Journal Articles > Item 987654321/33438

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/33438

Title:	Self-organizing adaptive fuzzy neural control for a class of nonlinear systems
Authors:	許駿飛 Hsu, Chun-Fei
Contributors:	電機工程學系 Electrical Engineering
Keywords:	adaptive control;sliding-mode control;fuzzy neural network;rule generation;rule elimination
Date:	2007
Issue Date:	2014-06-27 02:23:01 (UTC+8)
Abstract:	This paper proposes a self-organizing adaptive fuzzy neural control (SAFNC) via sliding-mode approach for a class of nonlinear systems. The proposed SAFNC system is comprised of a computation controller and a supervisory controller. The computation contro
Appears in Collections:	[Department of Electrical Engineering] Journal Articles

Files in This Item:

File	Description	Size	Format
p_e320_0039.pdf		25Kb	Adobe PDF	62	View/Open