IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v180y2024ics0960077924000456.html
   My bibliography  Save this article

Long short-term memory based intelligent control for switched system with a resilient event-triggered communication

Author

Listed:
  • Wang, Yunlong
  • Qi, Yiwen
  • Geng, Honglin
  • Tang, Yiwen
  • Li, Xin

Abstract

This paper studies the event-triggered control for switched systems (SSs) subject to external disturbance and DoS attacks. The adopted long short-term memory (LSTM) neural network with a special gate unit structure has the ability to selectively forget and retain data information. It is used to approximate the external disturbance, and by this offline-trained network approximation, the controller is compensated to eliminate the disturbance. The utilized resilient event-triggering strategy (RETS) can ease network communication burden and reduce the impact of DoS attacks. Further, Zeno phenomenon is avoided by calculating the positive lower limit of time intervals between successive triggers. Moreover, a unified expression that combines switched subsystems subject to DoS attacks is proposed. Then, sufficient conditions for guaranteeing the stability of SSs are derived. Furthermore, the design criteria for controller gains is given using matrix inequalities method. Finally, a simulation example is presented to validate the feasibility and correctness of the proposed method.

Suggested Citation

  • Wang, Yunlong & Qi, Yiwen & Geng, Honglin & Tang, Yiwen & Li, Xin, 2024. "Long short-term memory based intelligent control for switched system with a resilient event-triggered communication," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924000456
    DOI: 10.1016/j.chaos.2024.114494
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077924000456
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2024.114494?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. Tian, Binbin & Peng, Hui, 2023. "RBF-ARX model-based MPC approach to inverted pendulum: An event-triggered mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    2. M. Sathishkumar & Yen-Chen Liu, 2020. "Resilient event-triggered fault-tolerant control for networked control systems with randomly occurring nonlinearities and DoS attacks," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(14), pages 2712-2732, October.
    3. Xie, Xiang & Li, Xiaodi & Liu, Xinzhi, 2023. "Event-triggered impulsive control for multi-agent systems with actuation delay and continuous/periodic sampling," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    4. Liu, Xin & Chen, Lili & Zhao, Yanfeng & Li, Honglin, 2023. "Adaptive event-triggered control for stability of fractional-order T-S fuzzy multi-links complex networks with random coupling delay," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    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. Zheng, Huannan & Zhu, Wei & Li, Xiaodi, 2024. "Quasi-synchronization of parameter mismatch drive-response systems: A self-triggered impulsive control strategy," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    2. Chen, Laien & Zeng, Xiaoyong & Xia, Xiangyang & Sun, Yaoke & Yue, Jiahui, 2024. "A modeling and state of charge estimation approach to lithium-ion batteries based on the state-dependent autoregressive model with exogenous inputs," Energy, Elsevier, vol. 300(C).
    3. Liang, Jianchao & Liu, Jian & Tse, Chi K. & Liu, Mengxuan, 2024. "Observer-based aperiodically intermittent pinning synchronization of complex-valued dynamical networks with time-varying delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

    More about this item

    Keywords

    SSs; RETS; DoS attacks; LSTM;
    All these keywords.

    Statistics

    Access and download statistics

    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:chsofr:v:180:y:2024:i:c:s0960077924000456. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.