Adaptive utility-aware event-triggered reinforcement learning for hybrid attack scheduling against remote state estimation
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Remote state estimation plays an important role in connected vehicle platoons, industrial automation systems, and other networked Cyber-Physical Systems (CPSs), where reliable state information is essential for monitoring, feedback control, and decision-making... ...
