Design of self-constructing fuzzy wavelet neural control system

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/112101

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题名:	Design of self-constructing fuzzy wavelet neural control system
作者:	Tsu-Tian Lee, Po-Chun Wang, Chih-Ching Hsiao, and Chun-Fei Hsu
关键词:	intelligent control;Lyapunov stability theory;fuzzy neural network;wavelet neural network;self construction
日期:	2017-06-30
上传时间:	2017-11-15 02:10:34 (UTC+8)
出版者:	IEEE
摘要:	In this paper, a self-constructing fuzzy wavelet neural network (SFWNN) is used to approximate an unknown nonlinear term in the system dynamics with the structure and parameter learning abilities concurrently. Further, a selfconstructing fuzzy wavelet neural control (SFWNC) system, which is composed of a computation controller and a robust compensator, is proposed. The computation controller using the SFWNN approximator is the main controller and the robust compensator is designed to eliminate the effect of the approximation error. All controller parameters of the SFWNC system are adaptively update based on the Lyapunov stability theory and the projection algorithm to guarantee the closed-loop system stability. Finally, the effectiveness of the proposed SFWNC system is verified by simulation results and the SFWNN approximator has the admirable property of small fuzzy rules size and high learning accuracy.
關聯:	Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
DOI:	10.1109/IFSA-SCIS.2017.8023231
显示于类别:	[電機工程學系暨研究所] 會議論文

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