Abstract: Learning-based methods have gained popularity for training candidate Control Barrier Functions (CBFs) to satisfy the CBF conditions on a finite set of sampled states. However, since the CBF ...

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Abstract: This article investigates distributed finite-time optimization problems for first-order multi-agent systems (MASs) with time-varying cost functions under arbitrary strongly connected ...