Master–slave chaos synchronization using adaptive TSK-type CMAC neural control

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/57628

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题名:	Master–slave chaos synchronization using adaptive TSK-type CMAC neural control
作者:	Wu, Chia-Wen;Hsu, Chun-Fei;Hwang, Chi-Kuang
贡献者:	淡江大學電機工程學系
日期:	2011-10
上传时间:	2011-09-22 20:23:00 (UTC+8)
出版者:	Kidlington: Pergamon
摘要:	In this paper, an adaptive TSK-type CMAC neural control (ATCNC) system via sliding-mode approach is proposed for the chaotic symmetric gyro. The proposed ATCNC system is composed of a neural controller and a supervisory compensator. The neural controller uses a TSK-type CMAC neural network (TCNN) to approximate an ideal controller and the supervisory compensator is designed to guarantee system stable in the Lyapunov stability theorem. The developed TCNN provides more powerful representation than the traditional CMAC neural network. Moreover, all the control parameters of the proposed ATCNC system are evolved in the Lyapunov sense to ensure the system stability with a proportional–integral (PI) type adaptation tuning mechanism. Some simulations are presented to confirm the validity of the proposed ATCNC scheme without the occurrence of chattering phenomena. Further, the proposed PI type adaptation laws can achieve faster convergence of the tracking error than that using integral type adaptation laws in previous published papers.
關聯:	Journal of the Franklin Institute 348(8), p.1847–1868
DOI:	10.1016/j.jfranklin.2011.05.007
显示于类别:	[電機工程學系暨研究所] 期刊論文

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