IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/162610.html
   My bibliography  Save this article

Complex Dynamical Network Control for Trajectory Tracking Using Delayed Recurrent Neural Networks

Author

Listed:
  • Jose P. Perez
  • Joel Perez Padron
  • Angel Flores Hemandez
  • Santiago Arroyo

Abstract

In this paper, the problem of trajectory tracking is studied. Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a complex dynamical network is obtained. To illustrate the analytic results, we present a tracking simulation of a dynamical network with each node being just one Lorenz’s dynamical system and three identical Chen’s dynamical systems.

Suggested Citation

  • Jose P. Perez & Joel Perez Padron & Angel Flores Hemandez & Santiago Arroyo, 2014. "Complex Dynamical Network Control for Trajectory Tracking Using Delayed Recurrent Neural Networks," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, January.
    • Handle: RePEc:hin:jnlmpe:162610
    DOI: 10.1155/2014/162610
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/162610.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/162610.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/162610?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
    ---><---

    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:hin:jnlmpe:162610. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.