Auteur Faa-Jeng Lin
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Documents disponibles écrits par cet auteur (7)
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Faa-Jeng Lin, Auteur ; Po-Huan Chou, Auteur |An interval type-2 fuzzy neural network (IT2FNN) control system is proposed for the precision control of a two-axis motion control system in this paper. The adopted two-axis motion control system is composed of two permanent-magnet linear synchr[...]![]()
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Shieh, Hsin-Jang, Auteur ; Faa-Jeng Lin, Auteur |An adaptive displacement control with hysteresis modeling for a piezoactuated positioning mechanism is proposed in this paper because the dynamic performance of piezosystems is often severely deteriorated due to the hysteresis effect of piezoele[...]![]()
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Shieh, Hsin-Jang, Auteur ; Faa-Jeng Lin, Auteur ; Po-Kai Huang ; Teng, Li-Tao, Auteur |An adaptive displacement control with hysteresis modeling for a piezoactuated positioning mechanism is proposed in this paper because the dynamic performance of piezosystems is often severely deteriorated due to the hysteresis effect of piezoele[...]![]()
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Faa-Jeng Lin, Auteur ; Po-Kai Huang, Auteur ; Wang, Chin-Chien ; Teng, Li-Tao, Auteur |A frequency controlled three-phase induction generator (IG) system using ac-dc power converter is developed in this study. The electric frequency of the IG is controlled using the indirect field-oriented control mechanism. Moreover, an ac-dc pow[...]![]()
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Faa-Jeng Lin, Auteur ; Teng, Li-Tao, Auteur ; Shieh, Po-Huang, Auteur |An intelligent sliding-mode control system using a radial basis function network (SMCRBFN) is proposed to control the position of a levitated object of a magnetic levitation system to compensate the uncertainties including the friction force in [...]![]()
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Faa-Jeng Lin, Auteur ; Po-Kai Huang, Auteur ; Chou, Wen-Der, Auteur |A recurrent fuzzy neural network (RFNN) controller based on real-time genetic algorithms (GAs) is developed for a linear induction motor (LIM) servo drive in this paper. First, the dynamic model of an indirect field-oriented LIM servo drive is d[...]![]()
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Faa-Jeng Lin, Auteur ; Shen, Po-Hung, Auteur |A robust fuzzy neural network (RFNN) sliding-mode control based on computed torque control design for a two-axis motion control system is proposed in this paper. The two-axis motion control system is an$x-y$table composed of two permanent-magnet[...]


