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Black-box adversarial attacks on deep reinforcement learning-based proportional–integral–derivative controllers for load frequency control
Regular Papers | Updated:2026-01-07
    • Black-box adversarial attacks on deep reinforcement learning-based proportional–integral–derivative controllers for load frequency control

      Enhanced Publication
    • 面向负载频率控制场景下深度强化学习比例—积分—微分控制器的黑盒对抗攻击
    • In the field of load frequency control, this study introduces its research progress. Expert developed the DRL-based adaptive controller system, which provides solutions to enhance the robustness of control systems under adversarial attacks.
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 11, Pages: 2128-2142(2025)
    • DOI:10.1631/FITEE.2401021    

      CLC:
    • Received:23 November 2024

      Revised:2025-07-25

      Published Online:02 December 2025

      Published:2025-11

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  • Wei WANG, Zhenyong ZHANG, Xin WANG, et al. Black-box adversarial attacks on deep reinforcement learning-based proportional–integral–derivative controllers for load frequency control[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2128-2142. DOI: 10.1631/FITEE.2401021.

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