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Open Access

Stackelberg game-based optimal secure control against hybrid attacks for networked control systems

College of Electronic and Information Engineering, Tongji University, Shanghai, 200092, China
College of Electronic and Information Engineering, National Key Laboratory of Autonomous Intelligent Unmanned Systems, Frontiers Science Center for Intelligent Autonomous Systems, Ministry of Education, Tongji University, Shanghai, 200092, China
Wuhan 2nd Ship Design and Research Institute, Wuhan, 430205, China

Peer review under responsibility of Chongqing University.

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Abstract

This paper investigates the problem of optimal secure control for networked control systems under hybrid attacks. A control strategy based on the Stackelberg game framework is proposed, which differs from conventional methods by considering both denial-of-service (DoS) and false data injection (FDI) attacks simultaneously. Additionally, the stability conditions for the system under these hybrid attacks are established. It is technically challenging to design the control strategy by predicting attacker actions based on Stcakelberg game to ensure the system stability under hybrid attacks. Another technical difficulty lies in establishing the conditions for mean-square asymptotic stability due to the complexity of the attack scenarios. Finally, simulations on an unstable batch reactor system under hybrid attacks demonstrate the effectiveness of the proposed strategy.

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Journal of Automation and Intelligence
Pages 236-241

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Cite this article:
Xiong W, Dong Y, Zhou L. Stackelberg game-based optimal secure control against hybrid attacks for networked control systems. Journal of Automation and Intelligence, 2025, 4(3): 236-241. https://doi.org/10.1016/j.jai.2025.03.006

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Received: 26 December 2024
Revised: 16 March 2025
Accepted: 23 March 2025
Published: 29 March 2025
© 2025 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).