Adaptive CMAC neural control of Chaotic systems with a PI-type learning algorithm

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题名:	Adaptive CMAC neural control of Chaotic systems with a PI-type learning algorithm
作者:	許駿飛 Hsu, Chun-Fei
贡献者:	電機工程學系 Electrical Engineering
关键词:	Adaptive control;CMAC;Uniformly ultimately bounded;Chaotic system
日期:	2009
上传时间:	2014-06-27 02:36:16 (UTC+8)
摘要:	The cerebellar model articulation controller (CMAC) has the advantages such as fast learning property, good generalization capability and information storing ability. Based on these advantages, this paper proposes an adaptive CMAC neural control (ACNC) sy
显示于类别:	[電機工程學系] 期刊論文

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