Model-Free Predictive Current Control for PMSMs Based on a Physics-Informed Recurrent Neural Network
Abstract: Model-free predictive current control (MFPCC) based on the ultra-local model addresses the high parameter sensitivity characteristic of conventional model predictive current control (MPCC).
Abstract: This article proposes a novel data-driven distributed recurrent neural network (DDD-RNN) based on neurodynamics principles to address the challenge of precise collaborative motion generation ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
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