關鍵字查詢 | 類別:會議論文 | | 關鍵字:Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networks

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序號 學年期 教師動態
1 105/1 電機系 李祖添 教授 會議論文 發佈 Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networks , [105-1] :Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networks會議論文Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networksLee, Tsu-Tian; Hsu, Chun-Fei; Lo, Chun-YuIntelligent ControlSICE Annual Conference 2016In this paper, an intelligent complementary sliding-mode control (ICSMC) system, which is composed of a computation controller and a robust compensator, is proposed for a class of unknown nonlinear systems. In the computation controller design, an on-line constructive fuzzy neural network (OCFNN) with structure and parameter learning ability is used to on-line approximate an unknown nonlinear term of the system dynamics. All the controller parameters of the ICSMC system are on-line tuned in the sense of Lyapunov stability theorem to ensure the system stability. Finally, the proposed ICSMC system is applied to synchronize two chaotic systems with different order. The simulation results show that not only the IC
2 105/1 電機系 許駿飛 教授 會議論文 發佈 Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networks , [105-1] :Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networks會議論文Intelligent complementary sliding-mode control using on-line constructive fuzzy neural networksLee, Tsu-Tian; Hsu, Chun-Fei; Lo, Chun-YuIntelligent ControlSICE Annual Conference 2016In this paper, an intelligent complementary sliding-mode control (ICSMC) system, which is composed of a computation controller and a robust compensator, is proposed for a class of unknown nonlinear systems. In the computation controller design, an on-line constructive fuzzy neural network (OCFNN) with structure and parameter learning ability is used to on-line approximate an unknown nonlinear term of the system dynamics. All the controller parameters of the ICSMC system are on-line tuned in the sense of Lyapunov stability theorem to ensure the system stability. Finally, the proposed ICSMC system is applied to synchronize two chaotic systems with different order. The simulation results show that not only the IC
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