IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-73241-7_17.html
   My bibliography  Save this book chapter

Co-existence of Chaos and Control in Generalized Lotka–Volterra Biological Model: A Comprehensive Analysis

In: Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells

Author

Listed:
  • Taqseer Khan

    (Jamia Millia Islamia, Department of Mathematics)

  • Harindri Chaudhary

    (Jamia Millia Islamia, Department of Mathematics)

Abstract

In this work, a detailed investigation of difference combination anti-synchronization (DCAS) scheme among populations of interplaying biological species via active control technique (ACT) has been made, using generalized Lotka–Volterra (GLV) three species model. For the discussed GLV model, a comprehensive chaotic analysis is possible and we further plot the phase graphs of GLV model for a set of particular values of the considering parameters. Additionally, the active nonlinear controllers are designed in accordance with Lyapunov stability theory (LST) to show the asymptotic convergence of the synchronization errors globally. Moreover, some numerical simulations have been carrying out in MATLAB which confirms the effectiveness of the considered strategy. Remarkably, both computational and analytic outcomes agree efficiently.

Suggested Citation

  • Taqseer Khan & Harindri Chaudhary, 2021. "Co-existence of Chaos and Control in Generalized Lotka–Volterra Biological Model: A Comprehensive Analysis," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells, pages 271-279, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-73241-7_17
    DOI: 10.1007/978-3-030-73241-7_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-3-030-73241-7_17. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.