教師資料查詢 | 類別: 期刊論文 | 教師: 李祖添 TSU-TIAN LEE (瀏覽個人網頁)

標題:Robust wavelet-based adaptive neural controller design with a fuzzy compensator
學年98
學期1
出版(發表)日期2009/12/01
作品名稱Robust wavelet-based adaptive neural controller design with a fuzzy compensator
作品名稱(其他語言)
著者Hsu, Chun-Fei; Cheng, Kuo-Hsiang; Lee, Tsu-Tian
單位淡江大學電機工程學系
出版者Amsterdam: Elsevier BV
著錄名稱、卷期、頁數Neurocomputing 73(1–3), pp.423–431
摘要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 utilized to approximate an ideal controller and the fuzzy compensation controller with a fuzzy logic system in it is used to remove the chattering phenomena of conventional sliding-mode control completely. In the RWANC, the learning algorithm is derived based on the Lyapunov function, thus the closed-loop system's stability can be guaranteed. The chaotic system control has become an emerging topic in engineering community since the uncontrolled system displays complex, noisy-like and unpredictable behavior. Therefore, the proposed RWANC approach is applied to a second-order chaotic nonlinear system to investigate the effectiveness. Through the simulation results, the proposed RWANC scheme can achieve favorable tracking performance and the convergence of the tracking error and control parameters can be accelerated by the developed PI adaptation learning algorithm.
關鍵字Adaptive control; Neural control; Chaotic system; Fuzzy compensation; Wavelet neural network
語言英文
ISSN0925-2312
期刊性質國外
收錄於SCI
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式紙本
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