IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v182y2024ics0960077924003400.html
   My bibliography  Save this article

Quasi-synchronization of heterogeneous neural networks with hybrid time delays via sampled-data saturating impulsive control

Author

Listed:
  • Sun, Wenjing
  • Tang, Ze
  • Feng, Jianwen
  • Park, Ju H.

Abstract

This paper focuses on the quasi-synchronization matter of directed coupled heterogeneous neural networks with actuator saturation and hybrid time-varying delays under the sampled-data impulsive control. By utilizing the extended impulsive comparison principle and a dead-zone function representation of saturation nonlinearity function, multiple sufficient criteria are established for attaining the quasi-synchronization of heterogeneous dynamic neural networks. Meanwhile, the maximum estimating domain of attraction is acquired by solving an optimization problem which is confined by the linear matrix inequalities converted from the bilinear matrix inequalities. In addition, through utilizing the extended formula for the variation of parameters with hybrid delays, precise exponential convergence rate and theoretical error bound are calculated. Ultimately, the theoretical results are illustrated by means of a numerical simulation.

Suggested Citation

  • Sun, Wenjing & Tang, Ze & Feng, Jianwen & Park, Ju H., 2024. "Quasi-synchronization of heterogeneous neural networks with hybrid time delays via sampled-data saturating impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:chsofr:v:182:y:2024:i:c:s0960077924003400
    DOI: 10.1016/j.chaos.2024.114788
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077924003400
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2024.114788?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.

    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:182:y:2024:i:c:s0960077924003400. 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: 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.