關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Master–slave chaos synchronization using adaptive TSK-type CMAC neural control

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序號 學年期 教師動態
1 100/1 電機系 許駿飛 教授 期刊論文 發佈 Master–slave chaos synchronization using adaptive TSK-type CMAC neural control , [100-1] :Master–slave chaos synchronization using adaptive TSK-type CMAC neural control期刊論文Master–slave chaos synchronization using adaptive TSK-type CMAC neural controlWu, Chia-Wen; Hsu, Chun-Fei; Hwang, Chi-Kuang淡江大學電機工程學系Kidlington: PergamonJournal of the Franklin Institute 348(8), p.1847–1868In this paper, an adaptive TSK-type CMAC neural control (ATCNC) system via sliding-mode approach is proposed for the chaotic symmetric gyro. The proposed ATCNC system is composed of a neural controller and a supervisory compensator. The neural controller uses a TSK-type CMAC neural network (TCNN) to approximate an ideal controller and the supervisory compensator is designed to guarantee system stable in the Lyapunov stability theorem. The developed TCNN provides more powerful representation than the traditional CMAC neural network. Moreover, all the control parameters of the proposed ATCNC system are evolved in the Lyapunov sense to ensure the system stability with a proportional–integral (PI) type adap
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