Cooperative Interaction Observer-Based Security Control for T-S Fuzzy Cyber-Physical Systems Against Sensor and Actuator Attacks

The article investigates security control problems of Takagi-Sugeno (T-S) fuzzy cyber-physical systems (CPSs) against cyber-attacks on sensor measurement and actuator input signals. In T-S fuzzy CPSs, premise variables (PVs) of fuzzy controllers may rely on the measurable states. They can be influenced by the sensor attacks, to bring about the degradation of the control performance. Then, a fuzzy cooperative interaction observer is proposed to construct new, reliable, and available PVs as ones of the controllers. On the other hand, the information usage of sensor and actuator attack estimation errors (AEEs) is insufficient in the existing fuzzy observers. Consequently, it is difficult to further improve the estimation accuracy. Different from them, two auxiliary systems containing the AEE information are constructed. They are able to cooperate with the dynamics of observer's estimation errors, so that the AEE information is fully utilized to enhance the reconstruction accuracy of the attack signals. Furthermore, a class of new fuzzy observer-based security control with the reliable, available PVs is given such that the influence of sensor and actuator attacks and unreliable PVs is removed. Finally, the merit of the presented scheme is illustrated by the MATLAB-based simulation and hardware-in-the-loop experiment.

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Institutions

Publication Details

Journal
IEEE Transactions on Reliability
Published
2024-08-05
DOI
https://doi.org/10.1109/tr.2024.3411618
Citations
6
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
1.97

Funders

Controls
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article

Cooperative Interaction Observer-Based Security Control for T-S Fuzzy Cyber-Physical Systems Against Sensor and Actuator Attacks

Qingyu Su, Shuyi Xiao, Xin Huang, Jian Li et al.
6 citations
IEEE Transactions on Reliability
Smart Grid Security and Resilience
1.97
article

Cooperative Interaction Observer-Based Security Control for T-S Fuzzy Cyber-Physical Systems Against Sensor and Actuator Attacks

Qingyu Su, Shuyi Xiao, Xin Huang, Jian Li, Chenxu Chang
article en
6 citations

Abstract

The article investigates security control problems of Takagi-Sugeno (T-S) fuzzy cyber-physical systems (CPSs) against cyber-attacks on sensor measurement and actuator input signals. In T-S fuzzy CPSs, premise variables (PVs) of fuzzy controllers may rely on the measurable states. They can be influenced by the sensor attacks, to bring about the degradation of the control performance. Then, a fuzzy cooperative interaction observer is proposed to construct new, reliable, and available PVs as ones of the controllers. On the other hand, the information usage of sensor and actuator attack estimation errors (AEEs) is insufficient in the existing fuzzy observers. Consequently, it is difficult to further improve the estimation accuracy. Different from them, two auxiliary systems containing the AEE information are constructed. They are able to cooperate with the dynamics of observer's estimation errors, so that the AEE information is fully utilized to enhance the reconstruction accuracy of the attack signals. Furthermore, a class of new fuzzy observer-based security control with the reliable, available PVs is given such that the influence of sensor and actuator attacks and unreliable PVs is removed. Finally, the merit of the presented scheme is illustrated by the MATLAB-based simulation and hardware-in-the-loop experiment.

IEEE Transactions on ReliabilityVol. 73(4)
Northeast Electric Power University (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, China Scholarship Council
Openalex Percentile: Top 14%
Smart Grid Security and Resilience
1.97
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