IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v231y2025icp32-45.html
   My bibliography  Save this article

H∞ state estimation for fuzzy affine systems with PDT switching-based DoS attacks

Author

Listed:
  • Shen, Hao
  • Mei, Zhen
  • Su, Lei
  • Wang, Jing
  • Shi, Kaibo

Abstract

The H∞ state estimation problem for discrete-time Takagi–Sugeno (T–S) fuzzy-affine systems with Denial-of-Service (DoS) attacks whose occurrence is described by persistent dwell-time (PDT) switched model is discussed in this work. It should be noticed that distributed DoS attacks are characterized through proper configuration and categorization of mode, where the PDT switching strategy and the algorithm generating PDT switching sequence are proposed to describe the new framework. Correspondingly, the investigated system is transformed into the constrained PDT-switched system. Then, based on a piecewise and mode-dependent Lyapunov function, some sufficient conditions for obtaining the desirable estimator are proposed via the employed linear matrix inequality method and S-procedure theory, which guarantee that the resulting error system is exponentially stable and meets a prescribed H∞ performance level. Finally, the effectiveness of the proposed method is illustrated by two numerical examples.

Suggested Citation

  • Shen, Hao & Mei, Zhen & Su, Lei & Wang, Jing & Shi, Kaibo, 2025. "H∞ state estimation for fuzzy affine systems with PDT switching-based DoS attacks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 231(C), pages 32-45.
  • Handle: RePEc:eee:matcom:v:231:y:2025:i:c:p:32-45
    DOI: 10.1016/j.matcom.2024.11.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475424004701
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2024.11.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Naz, Sidra & Raja, Muhammad Asif Zahoor & Kausar, Aneela & Zameer, Aneela & Mehmood, Ammara & Shoaib, Muhammad, 2022. "Dynamics of nonlinear cantilever piezoelectric–mechanical system: An intelligent computational approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 88-113.
    2. Song, Xingxing & Lu, Hongqian & Xu, Yao & Zhou, Wuneng, 2022. "H∞ synchronization of semi-Markovian jump neural networks with random sensor nonlinearities via adaptive event-triggered output feedback control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 198(C), pages 1-19.
    3. Zirkohi, Majid Moradi, 2022. "Robust adaptive backstepping control of uncertain fractional-order nonlinear systems with input time delay," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 251-272.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saravanan Shanmugam & Rajarathinam Vadivel & Nallappan Gunasekaran, 2023. "Finite-Time Synchronization of Quantized Markovian-Jump Time-Varying Delayed Neural Networks via an Event-Triggered Control Scheme under Actuator Saturation," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    2. Priyanka, K. Sri Raja & Soundararajan, G. & Kashkynbayev, Ardak & Nagamani, G., 2023. "Exponential H∞ synchronization and anti-synchronization of delayed discrete-time complex-valued neural networks with uncertainties," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 301-321.
    3. Tajudeen, M. Mubeen & Ali, M. Syed & Thakur, Ganesh Kumar & Priya, Bandana & Perumal, R., 2025. "Non-fragile control of discrete-time conic-type nonlinear Markovian jump systems under deception attacks using event-triggered scheme and Its application," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 227(C), pages 209-225.
    4. Zhao, Rui & Wang, Baoxian & Jian, Jigui, 2022. "Global μ-stabilization of quaternion-valued inertial BAM neural networks with time-varying delays via time-delayed impulsive control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 223-245.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:231:y:2025:i:c:p:32-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.