關鍵字查詢 | 類別:會議論文 | | 關鍵字:Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motors

[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果
序號 學年期 教師動態
1 105/1 電機系 李祖添 約聘專任一般講座教授 會議論文 發佈 Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motors , [105-1] :Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motors會議論文Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motorsHsu, Chun-Fei; Wong, Kai-Yi; Su, Chien-Min; Lee, Tsu-TianIntelligent ControlSICE Annual Conference 2016In this paper, an adaptive fuzzy wavelet neural network control (AFWNNC) system, which is composed of a neural controller and an exponential compensator, is developed and presented for control of the voice coil motors. The neural controller utilizes a fuzzy wavelet neural network (FWNN) to on-line approximate an unknown nonlinear term in the system dynamics and the exponential compensator is designed to ensure the system stability of closed-loop system. Meanwhile, the parameter learning of the AFWNNC system is derived by the Lyapunov stability theory. Finally, the experiment is performed using a low-cost microcontroller to verify the design performance over a wide range of operating conditi
2 105/1 電機系 許駿飛 教授 會議論文 發佈 Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motors , [105-1] :Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motors會議論文Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motorsHsu, Chun-Fei; Wong, Kai-Yi; Su, Chien-Min; Lee, Tsu-TianIntelligent ControlSICE Annual Conference 2016In this paper, an adaptive fuzzy wavelet neural network control (AFWNNC) system, which is composed of a neural controller and an exponential compensator, is developed and presented for control of the voice coil motors. The neural controller utilizes a fuzzy wavelet neural network (FWNN) to on-line approximate an unknown nonlinear term in the system dynamics and the exponential compensator is designed to ensure the system stability of closed-loop system. Meanwhile, the parameter learning of the AFWNNC system is derived by the Lyapunov stability theory. Finally, the experiment is performed using a low-cost microcontroller to verify the design performance over a wide range of operating conditi
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果