關鍵字查詢 | 類別:會議論文 | | 關鍵字:Attitude control of the biped robot using intelligent fuzzy neural control

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序號 學年期 教師動態
1 104/1 電機系 劉智誠 助理教授 會議論文 發佈 Attitude control of the biped robot using intelligent fuzzy neural control , [104-1] :Attitude control of the biped robot using intelligent fuzzy neural control會議論文Attitude control of the biped robot using intelligent fuzzy neural controlChih-Cheng Liu; Chun-Fei Hsu; Tsu-Tian Lee; Ching-Chang WongInternational Symposium on Advanced Intelligent Systemsen國際無20151104~20151107是KORInternational Symposium on Advanced Intelligent SystemsMokpo, South Korea
2 104/1 機器人中心 翁慶昌 教授 會議論文 發佈 Attitude Control of the Biped Robot Using Intelligent Fuzzy Neural Control , [104-1] :Attitude Control of the Biped Robot Using Intelligent Fuzzy Neural Control會議論文Attitude Control of the Biped Robot Using Intelligent Fuzzy Neural ControlC.C. Liu; C.F. Hsu; T.T. Lee; C.C. Wongthe 16th International Symposium on Advanced Intelligent Systems, pp.1-8This paper proposes an intelligent fuzzy neural control (IFNC) to rectify the nonlinear system dynamic of a biped robot. The proposed IFNC system is composed of a neural controller and a robust controller. The neural controller uses a perturbed fuzzy neural network (PFNN) to approximate an ideal controller and the robust controller is designed to guarantee system stability. The controller parameters of the IFNC system are on-line tuned in the sense of Lyapunov function, thus the system stability can be guaranteed. Finally, the proposed IFNC system is applied to a nine-link biped robot to show its effectiveness. The simulation results show that the proposed IFNC system can achieve favorable attitude control performance for
3 104/1 電機系 許駿飛 教授 會議論文 發佈 Attitude control of the biped robot using intelligent fuzzy neural control , [104-1] :Attitude control of the biped robot using intelligent fuzzy neural control會議論文Attitude control of the biped robot using intelligent fuzzy neural controlChih-Cheng Liu; Chun-Fei Hsu; Tsu-Tian Lee; Ching-Chang Wong16th International Symposium on Advanced Intelligent SystemsThis paper proposes an intelligent fuzzy neural control (IFNC) to rectify the nonlinear system dynamic of a biped robot. The proposed IFNC system is composed of a neural controller and a robust controller. The neural controller uses a perturbed fuzzy neural network (PFNN) to approximate an ideal controller and the robust controller is designed to guarantee system stability. The controller parameters of the IFNC system are on-line tuned in the sense of Lyapunov function, thus the system stability can be guaranteed. Finally, the proposed IFNC system is applied to a nine-link biped robot to show its effectiveness. The simulation results show that the proposed IFNC system can achieve favorable attitude control perfor
4 104/1 電機系 李祖添 約聘專任一般講座教授 會議論文 發佈 Attitude control of the biped robot using intelligent fuzzy neural control , [104-1] :Attitude control of the biped robot using intelligent fuzzy neural control會議論文Attitude control of the biped robot using intelligent fuzzy neural controlLiu, Chih-Cheng; Hsu, Chun-Fei; Lee, Tsu-Tian; Wong, Ching-Changthe 16th International Symposium on Advanced Intelligent Systems, pp. 1-8en_US國際無20151104~20151107否TWNthe 16th International Symposium on Advanced Intelligent SystemsMokpo, South Korea
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