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2“... of artificial neural network in learning from processes, is adopted. Moreover, based on the control technology...”
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3“... gate array (FPGA)-based neural networks control for linear ultrasonic motor (LUSM) drive system...”
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4“... neural network (RFNN) controlled linear induction motor (LIM) drive based on genetic algorithm (GA...”
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5“... neural network (RFNN) controlled linear induction motor (LIM) drive based on genetic algorithm (GA...”
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6“... intelligent control systems for a X-Y-Θ three-axis motion table using linear ultrasonic motors (LUSMs...”
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7“... learning based high-performance synchronous reluctance motor (SynRM) drive system, an intelligent maximum...”
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8“... synchronous motor (PMLSM) drive system to achieve precision position control with robustness. First...”
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9“... linear synchronous motor (PMLSM) drive control system based on Lyapunov stability theorem. First...”
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10“... processor (DSP) based intelligent control of six-phase permanent magnet synchronous motor (PMSM) drive...”
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11“... fuzzy neural network (SCFNN) control system for a permanent magnet linear synchronous motor (PMLSM...”
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12“... linear synchronous motors (PMLSMs), to achieve precision position control with robustness based on TMS320...”
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13“... processor (DSP)-based neural network controlled in-wheel motor system using a six-phase permanent magnet...”
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14“... processor (DSP) based intelligent control of a six-phase permanent magnet synchronous motor (PMSM) drive...”
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15“... to learn the parameters of the FLRBFN online. Finally, the proposed position control system is implemented...”
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16“...) torque observer combining with a new-type maximum torque per ampere (MTPA) control is proposed...”
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17“... position control for each motor and effective synchronous control for dual linear motors with robustness...”
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18“... of the interior permanent magnet synchronous motor (IPMSM) used in inverter-fed compressor drive systems. Two...”
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