Robust wavelet-based adaptive neural controller design with a fuzzy compensator

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Title:	Robust wavelet-based adaptive neural controller design with a fuzzy compensator
Authors:	許駿飛 Hsu, Chun-Fei
Contributors:	電機工程學系 Electrical Engineering
Keywords:	適應性控制;類神經控制;渾沌系統 adaptive control;neural control;chaotic system
Date:	2010
Issue Date:	2014-06-27 02:34:46 (UTC+8)
Abstract:	本論文提出一強健型小波類神經網路控制器(robust wavelet-based adaptive neural control, RWANC)，其包含一類神經控制器與一強健控制器，所提出之PI學習法則可以有效地加速控制收斂性，經由模擬結果發現所設計之方法可以比以發表之學習法則獲得更加之收斂效果。 In this paper, a robust wavelet-based adaptive neural control (RWANC) with a PI type learning algorithm is proposed. The proposed RWANC system is composed of a wavelet neural controller and a fuzzy compensation controller. The wavelet neural control is ut
Appears in Collections:	[Department of Electrical Engineering] Journal Articles

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