Nonfragile Fault-Tolerant Control for Power Cyber-Physical Systems With Cyber Attacks

This work addresses the nonfragile fault-tolerant control for power cyber-physical systems (CPSs) under denial-of-service (DoS) attacks, in which the cyber attacks are considered to be strongly concealed. In the fact of power CPSs frequently subject to various attacks during the operation, the innovation is to construct a double-layer stochastic process composed of a semi-Markov chain and a sequence of observed mode to analyze the DoS attacks from the viewpoint of hidden semi-Markov chain. To address potential actuator failures and controller gain perturbations, an observed-mode-dependent nonfragile control scheme is developed. By constructing a mode-dependent Lyapunov function that incorporates both attack modes and observed modes, sufficient conditions are derived to ensure mean-square stability of the closed-loop system through the semi-Markov kernel (SMK) approach, which systematically handles the stochastic characteristics of dwell time (DT) distributions under incomplete attack mode information. Finally, a simulation example demonstrates the validity of the proposed approach.

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Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2025-11-27
DOI
https://doi.org/10.1109/tcyb.2025.3634154
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

Nonfragile Fault-Tolerant Control for Power Cyber-Physical Systems With Cyber Attacks

Jinde Cao, Guangdeng Zong, Shun‐Feng Su, Wenhai Qi et al.
IEEE Transactions on Cybernetics
Smart Grid Security and Resilience
article

Nonfragile Fault-Tolerant Control for Power Cyber-Physical Systems With Cyber Attacks

Jinde Cao, Guangdeng Zong, Shun‐Feng Su, Wenhai Qi, Kangkang Sun, Feiyue Shen
article en

Abstract

This work addresses the nonfragile fault-tolerant control for power cyber-physical systems (CPSs) under denial-of-service (DoS) attacks, in which the cyber attacks are considered to be strongly concealed. In the fact of power CPSs frequently subject to various attacks during the operation, the innovation is to construct a double-layer stochastic process composed of a semi-Markov chain and a sequence of observed mode to analyze the DoS attacks from the viewpoint of hidden semi-Markov chain. To address potential actuator failures and controller gain perturbations, an observed-mode-dependent nonfragile control scheme is developed. By constructing a mode-dependent Lyapunov function that incorporates both attack modes and observed modes, sufficient conditions are derived to ensure mean-square stability of the closed-loop system through the semi-Markov kernel (SMK) approach, which systematically handles the stochastic characteristics of dwell time (DT) distributions under incomplete attack mode information. Finally, a simulation example demonstrates the validity of the proposed approach.

IEEE Transactions on CyberneticsVol. 56(4)
National Taiwan University of Science and Technology (TW), Tiangong University (CN), Qufu Normal University (CN), Harbin Institute of Technology (CN), Institute of Scientific and Technical Information (CN), Southeast University (CN)
Openalex Percentile: Top 54%
Smart Grid Security and Resilience
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