IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v49y2018i1p124-131.html
   My bibliography  Save this article

Adaptive non-predictor control of lower triangular uncertain nonlinear systems with an unknown time-varying delay in the input

Author

Listed:
  • Min-Sung Koo
  • Ho-Lim Choi

Abstract

In this paper, we consider a control problem for a class of uncertain nonlinear systems in which there exists an unknown time-varying delay in the input and lower triangular nonlinearities. Usually, in the existing results, input delays have been coupled with feedforward (or upper triangular) nonlinearities; in other words, the combination of lower triangular nonlinearities and input delay has been rare. Motivated by the existing controller for input-delayed chain of integrators with nonlinearity, we show that the control of input-delayed nonlinear systems with two particular types of lower triangular nonlinearities can be done. As a control solution, we propose a newly designed feedback controller whose main features are its dynamic gain and non-predictor approach. Three examples are given for illustration.

Suggested Citation

  • Min-Sung Koo & Ho-Lim Choi, 2018. "Adaptive non-predictor control of lower triangular uncertain nonlinear systems with an unknown time-varying delay in the input," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(1), pages 124-131, January.
  • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:1:p:124-131
    DOI: 10.1080/00207721.2017.1390705
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2017.1390705
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2017.1390705?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.

    References listed on IDEAS

    as
    1. Meng-Meng Jiang & Kemei Zhang & Xue-Jun Xie, 2017. "Output feedback stabilisation of high-order nonlinear feedforward time-delay systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(8), pages 1692-1707, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:taf:tsysxx:v:49:y:2018:i:1:p:124-131. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

      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.