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:Design of an adaptive self-organizing fuzzy neural network controller for uncertain nonlinear chaotic systems
學年99
學期2
出版(發表)日期2011/02/23
作品名稱Design of an adaptive self-organizing fuzzy neural network controller for uncertain nonlinear chaotic systems
作品名稱(其他語言)
著者Hsu, Chun-Fei; Kao, Chih-Hong; Don, Hon-Son
單位淡江大學電機工程學系
出版者
著錄名稱、卷期、頁數Neural Computing and Applications 21(6), pp.1243–1253
摘要Though the control performances of the fuzzy neural network controller are acceptable in many previous published papers, the applications are only parameter learning in which the parameters of fuzzy rules are adjusted but the number of fuzzy rules should be determined by some trials. In this paper, a Takagi–Sugeno-Kang (TSK)-type self-organizing fuzzy neural network (TSK-SOFNN) is studied. The learning algorithm of the proposed TSK-SOFNN not only automatically generates and prunes the fuzzy rules of TSK-SOFNN but also adjusts the parameters of existing fuzzy rules in TSK-SOFNN. Then, an adaptive self-organizing fuzzy neural network controller (ASOFNNC) system composed of a neural controller and a smooth compensator is proposed. The neural controller using the TSK-SOFNN is designed to approximate an ideal controller, and the smooth compensator is designed to dispel the approximation error between the ideal controller and the neural controller. Moreover, a proportional-integral (PI) type parameter tuning mechanism is derived based on the Lyapunov stability theory, thus not only the system stability can be achieved but also the convergence of tracking error can be speeded up. Finally, the proposed ASOFNNC system is applied to a chaotic system. The simulation results verify the system stabilization, favorable tracking performance, and no chattering phenomena can be achieved using the proposed ASOFNNC system.
關鍵字Chaotic system;Fuzzy neural network;Neural control;Self-organizing
語言英文
ISSN1433-3058
期刊性質國外
收錄於SCI;
產學合作
通訊作者Chun-Fei Hsu
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
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