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Filtering for PDT Switched T–S Fuzzy Systems With Attacks and Disorders: A TCSI Engine Fault Detection

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Abstract

This paper concerns fault detection filter design for switched Takagi–Sugeno (T–S) fuzzy systems against deception attacks. A fuzzy fault detection filter with attacked input signal is presented to detect system faults. Switched event-triggering schemes are adopted to efficiently utilize limited network communication bandwidth resources. Moreover, the filter adopts nonsynchronous premise variables with the system to handle communication delays caused by event-triggering schemes and network transmission. Then, the switched fuzzy residual systems are developed by utilizing a model transformation technique. Furthermore, by using piecewise Lyapunov functional method and persistent dwell time (PDT) technique, the resulting criterion provides sufficient conditions to ensure that switched fuzzy residual systems under deception attacks are mean-square exponentially (MSE) stable with an \(H_\infty\) performance. Accordingly, the conditions for the co-design of fuzzy filter and event-triggering schemes are given. Finally, the effectiveness of the design of the fault detection filter is verified by a numerical simulation and an air path of the TCSI engine simulation.

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Funding

This work was supported in part by the Science Center for Gas Turbine Project [grant number P2021-A-I-001-002], and the China Central University Basic Scientific Research Fund [grant number NP2022409].

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Authors and Affiliations

  1. Collage of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Zhaohui Yao

  2. School of Automation, Shenyang Aerospace University, Shenyang, 110136, China

    Yiwen Tang & Shuo Yuan

  3. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

    Yiwen Qi

Authors
  1. Zhaohui Yao
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  2. Yiwen Tang
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Correspondence to Zhaohui Yao, Yiwen Tang or Yiwen Qi.

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Yao, Z., Tang, Y., Yuan, S. et al. Filtering for PDT Switched T–S Fuzzy Systems With Attacks and Disorders: A TCSI Engine Fault Detection. Int. J. Fuzzy Syst. 25, 1429–1443 (2023). https://doi.org/10.1007/s40815-022-01443-4

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