Browsing by Author "Ding, Fu-Shan"
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Item type:Item, Intelligent control for DC-DC power converter with recurrent fuzzy neural network approach(2006) ;Hsu, Chun-Fei ;Lee, Tsu-Tian ;Wen, Yao-Wei ;Ding, Fu-Shan電控工程研究所For many years, the control approaches for the dc-dc power converters are limited to PI controller structures. However, it gives the overshoot in output voltage as the rise time of response is reduced. To tackle this problem, an adaptive recurrent fuzzy neural network (ARFNN) control system is developed in this paper. The on-line adaptive laws of the ARFNN control scheme are derived based on the Lyapunov stability theorem, so that the stability of the system can be guaranteed. Experimental results show that the proposed ARFNN control scheme can achieve good regulation performances.Item type:Item, Intelligent tracking control for Duffing oscillator using a self-organizing fuzzy neural network(2006) ;Chen, Te-Yu ;Hsu, Chun-Fei ;Lee, Tsu-Tian ;Ding, Fu-ShanChiu, Chih-HuiThis paper proposes an intelligent tracking control for the chaotic systems via backstepping approach. The intelligent tracking control system is comprised of a neural controller and a robust controller. The neural controller containing a self-organizing fuzzy neural network (SOFNN) identifier is the principal controller, and the robust controller is designed to dispel the effect of minimum approximation error introduced by the SOFNN identifier. The SOFNN identifier is used to online estimate the chaotic dynamic function with structure and parameter learning phases of fuzzy neural network. Finally, simulation results verify that the proposed intelligent tracking control can achieve favorable tracking performance.