IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-030-69913-0_8.html
   My bibliography  Save this book chapter

Control Parametrization for Canonical Optimal Control Problems

In: Applied and Computational Optimal Control

Author

Listed:
  • Kok Lay Teo

    (Sunway University)

  • Bin Li

    (Sichuan University)

  • Changjun Yu

    (Shanghai University)

  • Volker Rehbock

    (Curtin University)

Abstract

The methods reported in [75, 244, 245, 248, 249] and [253], as well as many papers cited in the references list, are developed based on the control parameterization technique for solving various classes of optimal control problems. Basically, the method partitions the time interval [0, T] into several subintervals and the control variables are approximated by piecewise constant or piecewise linear functions with pre-fixed switching times. Through this process, the optimal control problem is approximated by a sequence of optimal parameter selection problems.

Suggested Citation

  • Kok Lay Teo & Bin Li & Changjun Yu & Volker Rehbock, 2021. "Control Parametrization for Canonical Optimal Control Problems," Springer Optimization and Its Applications, in: Applied and Computational Optimal Control, chapter 0, pages 267-314, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-69913-0_8
    DOI: 10.1007/978-3-030-69913-0_8
    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 search 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:spochp:978-3-030-69913-0_8. 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.