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Data mapping among different data standards in health institutes is often a necessity when data exchanges occur among different institutes. However, no matter rule-based approaches or traditional machine learning methods, none of these methods have achieved satisfactory results yet. In this work, we propose a deep learning method, mixture feature embedding convolutional neural network (MfeCNN), to...
In this paper, the speed regulation problem for permanent magnet synchronous motor (PMSM) systems under vector control framework is studied. A modified composite control strategy combining model reference adaptive control (MRAC) method and extended state observer (ESO) technology, called MRAC+ESO method, is proposed. Controller is designed for the speed loop of the permanent magnet synchronous motor...
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