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Volume 11 Issue 8
Aug.  2024

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2024  >  11(8): 1865-1876
W. Sun, X. Gao, L. Ding, and  X. Chen,  “Distributed fault estimation for nonlinear systems with sensor saturation and deception attacks using stochastic communication protocols,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1865–1876, Aug. 2024. doi: 10.1109/JAS.2023.124161
Citation: W. Sun, X. Gao, L. Ding, and  X. Chen,  “Distributed fault estimation for nonlinear systems with sensor saturation and deception attacks using stochastic communication protocols,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1865–1876, Aug. 2024. doi: 10.1109/JAS.2023.124161
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Distributed Fault Estimation for Nonlinear Systems With Sensor Saturation and Deception Attacks Using Stochastic Communication Protocols

doi: 10.1109/JAS.2023.124161
Funds:  This work was supported in part by the National Natural Science Foundation of China (62073189, 62173207) and the Taishan Scholar Project of Shandong Province (tsqn202211129)
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    Abstract

  • This paper is aimed at the distributed fault estimation issue associated with the potential loss of actuator efficiency for a type of discrete-time nonlinear systems with sensor saturation. For the distributed estimation structure under consideration, an estimation center is not necessary, and the estimator derives its information from itself and neighboring nodes, which fuses the state vector and the measurement vector. In an effort to cut down data conflicts in communication networks, the stochastic communication protocol (SCP) is employed so that the output signals from sensors can be selected. Additionally, a recursive security estimator scheme is created since attackers randomly inject malicious signals into the selected data. On this basis, sufficient conditions for a fault estimator with less conservatism are presented which ensure an upper bound of the estimation error covariance and the mean-square exponential boundedness of the estimating error. Finally, a numerical example is used to show the reliability and effectiveness of the considered distributed estimation algorithm.

     

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    Highlights

    • This paper studies the distributed fault estimation issue associated with the potential loss of actuator efficiency for a type of discrete-time nonlinear systems with sensor saturation, and stochastic communication protocol (SCP) is employed so that the output signals from sensors can be selected
    • In the presence of sensor saturation and deception attacks under SCP, a novel filter is obtained that can simultaneously estimate the system state, the finite differences of the fault, and the fault signal for each node using the data from the node itself and the surrounding nodes, and a new fault estimation problem related to the lack of control effectiveness for nonlinear systems is addressed which can enhance the system’ s security and control performance
    • By addressing the coupling issue between sensor nodes, we suggest an estimation performance standard that quantifies the exponential mean square boundedness of estimate errors. Our suggested method can effectively counteract the impacts of saturation and deception attacks

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