教師資料查詢 | 類別: 期刊論文 | 教師: 許駿飛 Hsu, Chun-Fei (瀏覽個人網頁)

標題:Nonlinear system control using a self-organizing functional-linked neuro-fuzzy network
學年102
學期1
出版(發表)日期2013/08/01
作品名稱Nonlinear system control using a self-organizing functional-linked neuro-fuzzy network
作品名稱(其他語言)
著者Hsu, Chun-Fei
單位淡江大學電機工程學系
出版者Dordrecht: Springer Netherlands
著錄名稱、卷期、頁數Nonlinear Dynamics 73(3), pp.1631–1643
摘要This study presents a self-organizing functional-linked neuro-fuzzy network (SFNN) for a nonlinear system controller design. An online learning algorithm, which consists of structure learning and parameter learning of a SFNN, is presented. The structure learning is designed to determine the number of fuzzy rules and the parameter learning is designed to adjust the parameters of membership function and corresponding weights. Thus, an adaptive self-organizing functional-linked neuro-fuzzy control (ASFNC) system, which is composed of a computation controller and a robust compensator, is proposed. In the computation controller, a SFNN observer is utilized to approximate the system dynamic and the robust compensator is designed to eliminate the effect of the approximation error introduced by the SFNN observer upon the system stability. Finally, to show the effectiveness of the proposed ASFNC system, it is applied to a chaotic system. The simulation results demonstrate that favorable control performance can be achieved by the proposed ASFNC scheme without any knowledge of the control plants and without requiring preliminary offline tuning of the SFNN observer.
關鍵字Adaptive control; Neural control; Chaotic system; Neural-fuzzy network; Functional-linked neural network
語言英文
ISSN0924-090X;1573-269X
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;電子版
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