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Data-driven modeling and fault estimation for nonlinear systems: A checksum-redundancy correction based anti-attack strategy

Author

Listed:
  • Dang, Lu-Yao
  • Huang, Sheng-Juan
  • Guo, Liang-Dong
  • Zhang, Da-Qing
  • Wu, Li-Bing

Abstract

In a network attack environment, this paper investigates the data-driven modeling and fault estimation for a class of Lipschitz nonlinear systems with actuator and sensor faults. Here, the sampled measured output data from the system transmitted over the wireless network, which may pose a risk of being subjected to network attacks, can be captured by the receiving end. A checksum-redundancy correction based anti-attack strategy, which can restore the transmitted data to the original one, is proposed to ensure data reliability. A reliable data-driven differential equation model based observer associated with the original system is constructed, so as to achieve the estimation of system multi faults. LMI-based uniformly ultimate boundedness (UUB) stability conditions are proposed for the error dynamics. Then, an iterative observer related to the original system is designed to further improve the multi-fault estimation accuracy. A convergence theorem is given to guarantee the effectiveness of the designed iterative observer. Finally, a longitudinal dynamics model of the aircraft is exhibited to test the proposed strategy.

Suggested Citation

  • Dang, Lu-Yao & Huang, Sheng-Juan & Guo, Liang-Dong & Zhang, Da-Qing & Wu, Li-Bing, 2026. "Data-driven modeling and fault estimation for nonlinear systems: A checksum-redundancy correction based anti-attack strategy," Chaos, Solitons & Fractals, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:chsofr:v:204:y:2026:i:c:s0960077925017825
    DOI: 10.1016/j.chaos.2025.117768
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    References listed on IDEAS

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    1. Du, Dongsheng & Cocquempot, Vincent & Jiang, Bin, 2019. "Robust fault estimation observer design for switched systems with unknown input," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 70-83.
    2. Sun, Shaoxin & Wang, Yingchun & Zhang, Huaguang & Sun, Jiayue, 2020. "Multiple intermittent fault estimation and tolerant control for switched T-S fuzzy stochastic systems with multiple time-varying delays," Applied Mathematics and Computation, Elsevier, vol. 377(C).
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