Abstract: Learning-based motion planning methods have shown significant promise in enhancing the efficiency of traditional algorithms. However, they often face performance degradation in novel ...
Abstract: The stability of grid-connected inverter under weak grid can be analyzed with the return ratio matrix, which is the ratio of the inverter output admittance and grid admittance. Since the ...
This project develops machine learning ML surrogate models to approximate the performance of a binary distillation column. Process data is generated using DWSIM, an open-source process simulator, by ...
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