IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/604391.html
   My bibliography  Save this article

Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System

Author

Listed:
  • Ching-Hung Lee
  • Yu-Ching Lin

Abstract

This paper proposes a novel intelligent control scheme using type-2 fuzzy neural network (type-2 FNN) system. The control scheme is developed using a type-2 FNN controller and an adaptive compensator. The type-2 FNN combines the type-2 fuzzy logic system (FLS), neural network, and its learning algorithm using the optimal learning algorithm. The properties of type-1 FNN system parallel computation scheme and parameter convergence are easily extended to type-2 FNN systems. In addition, a robust adaptive control scheme which combines the adaptive type-2 FNN controller and compensated controller is proposed for nonlinear uncertain systems. Simulation results are presented to illustrate the effectiveness of our approach.

Suggested Citation

  • Ching-Hung Lee & Yu-Ching Lin, 2011. "Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System," Mathematical Problems in Engineering, Hindawi, vol. 2011, pages 1-25, June.
    • Handle: RePEc:hin:jnlmpe:604391
    DOI: 10.1155/2011/604391
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2011/604391.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2011/604391.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2011/604391?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:604391. 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.