IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i21p3385-d1509493.html
   My bibliography  Save this article

Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks

Author

Listed:
  • Xi-Ming Liu

    (School of Control Science and Engineering, Bohai University, Jinzhou 121013, China)

  • Xiao-Heng Chang

    (School of Control Science and Engineering, Bohai University, Jinzhou 121013, China)

  • Li-Wei Hou

    (School of Control Science and Engineering, Bohai University, Jinzhou 121013, China)

Abstract

This article investigates the issue of H ∞ security output feedback control for a nonlinear networked cascade control system with deception attacks. First, to further reduce the amount of communication data, reasonably schedule network resources, and alleviate the impact of multi-channel deception attacks, an attack-dependent adaptive event-triggered mechanism is introduced into the primary network channel, and its adaptive triggered threshold can be adjusted according to the random attack probability. Secondly, the output dynamic quantization of the secondary network channel is considered. Then, a novel security cascade output feedback controller design framework based on the Takagi–Sugeno (T-S) fuzzy networked cascade control system under deception attacks is established. In addition, by introducing the Lyapunov–Krasovskii stability theory, the design conditions of the controller are given. Finally, the effectiveness and superiority of the proposed design strategies are verified by two simulation examples of power plant boiler–turbine system and power plant boiler power generation control system.

Suggested Citation

  • Xi-Ming Liu & Xiao-Heng Chang & Li-Wei Hou, 2024. "Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks," Mathematics, MDPI, vol. 12(21), pages 1-24, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3385-:d:1509493
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/21/3385/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/21/3385/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yanjie Liu & Yanlong Wei & Chao Wang & Heng Wu, 2024. "Trajectory Optimization for Adaptive Deformed Wheels to Overcome Steps Using an Improved Hybrid Genetic Algorithm and an Adaptive Particle Swarm Optimization," Mathematics, MDPI, vol. 12(13), pages 1-29, July.
    2. Haoming Zhu & Gaiyun Liu & Zhenhua Yu & Zhiwu Li, 2023. "Detectability in Discrete Event Systems Using Unbounded Petri Nets," Mathematics, MDPI, vol. 11(18), pages 1-28, September.
    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. Yongyao Li & Yufeng Chen & Rui Zhou, 2024. "A Set Covering Approach to Design Maximally Permissive Supervisors for Flexible Manufacturing Systems," Mathematics, MDPI, vol. 12(11), pages 1-20, May.
    2. Jie Zhang & Zhiwu Li, 2024. "Critical Observability Enforcement in Discrete Event Systems Using Differential Privacy," Mathematics, MDPI, vol. 12(23), pages 1-22, December.
    3. Olympia Roeva & Dafina Zoteva & Gergana Roeva & Maya Ignatova & Velislava Lyubenova, 2024. "An Effective Hybrid Metaheuristic Approach Based on the Genetic Algorithm," Mathematics, MDPI, vol. 12(23), pages 1-16, December.

    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:gam:jmathe:v:12:y:2024:i:21:p:3385-:d:1509493. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.