Abstract: For hyperspectral subpixel target detection tasks, conventional mixing model (CMM) is one of the most intensively used models. Despite the flexibility of CMM in terms of mixing coefficient, ...
Abstract: This paper proposes an intelligent tuning framework for a boost converter connected to a photovoltaic (PV) system using a generalized Model Predictive Control (MPC) strategy integrated with ...
Perception-based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to ...
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