Abstract: This paper proposes an online parameter estimation method based on a discrete-time dynamic model for the interior permanent-magnet synchronous motors (IPMSMs). The proposed estimation ...
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Abstract: Because of the high permeability of renewable energy, achieving the real-time state of the distribution system, including the topology, essential parameters and operation condition, is now ...
In this paper, we propose a conceptually simple but very effective attention module for Convolutional Neural Networks (ConvNets). In contrast to existing channel-wise and spatial-wise attention ...
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