Abstract: Designing safety-critical controllers for the blast furnace is crucial yet challenging due to its complex inherent dynamics. Recent advances in reinforcement learning (RL) have shown promise ...
Abstract: In this paper, we present a novel theoretical framework for online adaptation of Control Barrier Function (CBF) parameters, i.e., of the class $\mathcal{K}$ functions included in the CBF ...
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