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Updated: Jan 9, 2026

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恶意攻击下的模糊马尔科夫跳跃系统的安全Q学习:一个同位素方案

Hao Shen, Zheng Huang, Jiacheng Wu

    IEEE transactions on cybernetics
    |December 2, 2025
    PubMed
    概括

    本研究引入了一种新的强化学习 (RL) 安全控制,用于面临虚假数据注入攻击 (FDIA) 的非线性马尔科夫跳跃系统 (MJS). 该方法确保了系统稳定性,不需要先前了解系统动态或初始收益.

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