IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v527y2026ics0096300326001505.html

Aperiodic event-triggered impulsive control for impulsive switched systems under Denial-of-service attacks

Author

Listed:
  • Zheng, Jinhe
  • Gao, Lijun
  • Duan, Zhian

Abstract

This paper investigates the input-to-state stability (ISS) problem for nonlinear impulsive switched systems under aperiodic event-triggered impulsive control in the presence of Denial-of-service (DoS) attacks. First, by integrating sampled control, event-triggered control, and impulsive control, a novel aperiodic sampled-data event-triggered impulsive mechanism is proposed. Compared with traditional control methods, this mechanism flexibly adjusts the sampling frequency to reduce excessive triggering caused by oversampling, thereby significantly lowering energy consumption and avoiding computational resource waste. Moreover, by setting a minimum sampling interval, Zeno behavior is effectively avoided. Second, by employing the interpolation method and the mode-dependent average dwell time approach, a new multiple Lyapunov function (MLF) is constructed through the interpolation of multiple discontinuous Lyapunov functions. This function maintains continuity and smoothness during the dwell time intervals, thus avoiding complex discussions at the partition points caused by dividing the dwell time intervals. Furthermore, under DoS attacks, an event-triggered update mechanism is designed, where the transmission status is determined via acknowledgment (ACK) signals to prevent the controller state from remaining unupdated for extended periods. Finally, simulation results verify the effectiveness of the proposed strategy, demonstrating that even when both the sensor-controller and controller-actuator channels are simultaneously subject to DoS attacks, the nonlinear impulsive switched system can maintain ISS.

Suggested Citation

  • Zheng, Jinhe & Gao, Lijun & Duan, Zhian, 2026. "Aperiodic event-triggered impulsive control for impulsive switched systems under Denial-of-service attacks," Applied Mathematics and Computation, Elsevier, vol. 527(C).
  • Handle: RePEc:eee:apmaco:v:527:y:2026:i:c:s0096300326001505
    DOI: 10.1016/j.amc.2026.130098
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300326001505
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2026.130098?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

    for a different version of it.

    More about this item

    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:apmaco:v:527:y:2026:i:c:s0096300326001505. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.