Abstract: Accurate online parameter estimation is crucial for effective system control, monitoring, and maintenance for wireless power transfer (WPT) systems. However, unavoidable and unpredictable ...
Abstract: The growing demand for robust, green, and wide-area sensing in applications like the low-altitude economy necessitates scalable, low-cost, and energy-efficient network architectures. To meet ...
This repository implements a physics-informed learning framework that combines recurrent neural networks (LSTM) with a single particle model (SPM) of a lithium-ion battery. The framework jointly ...
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