Abstract: Topology reconfiguration (TR) is an efficient resilient defense action to ensure the survival of critical loads (CLs) during sequential extreme events (SEEs). While deep reinforcement ...
Abstract: A novel reinforcement learning (RL)-based model-free adaptive control (MFAC) strategy is proposed to address the consensus tracking control issue for multiagent systems subjected to data ...
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