IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v203y2024i2d10.1007_s10957-024-02510-6.html
   My bibliography  Save this article

Optimal Control Problem with Regular Mixed Constraints via Penalty Functions

Author

Listed:
  • Maria do Rosário Pinho

    (Universidade do Porto)

  • Maria Margarida A. Ferreira

    (Universidade do Porto)

  • Georgi Smirnov

    (Universidade do Minho)

Abstract

Below we derive necessary conditions of optimality for problems with mixed constraints (see Dmitruk in Control Cybern 38(4A):923–957, 2009) using the method of penalty functions similar to the one we previously used to solve optimization problems for control sweeping processes (see, e.g., De Pinho et al. in Optimization 71(11):3363–3381, 2022) and, more recently, to solve optimal control problems with pure state constraints (see De Pinho et al. in Syst Control Lett 188:105816, 2024). We intentionally consider a smooth case and the simplest boundary conditions; we consider global minimum and assume that the set of trajectories of the control system is compact. Based on our penalty functions approach we develop a numerical method admitting estimates for its parameters needed to achieve a given precision.

Suggested Citation

  • Maria do Rosário Pinho & Maria Margarida A. Ferreira & Georgi Smirnov, 2024. "Optimal Control Problem with Regular Mixed Constraints via Penalty Functions," Journal of Optimization Theory and Applications, Springer, vol. 203(2), pages 1564-1586, November.
    • Handle: RePEc:spr:joptap:v:203:y:2024:i:2:d:10.1007_s10957-024-02510-6
    DOI: 10.1007/s10957-024-02510-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-024-02510-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10957-024-02510-6?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.

    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:joptap:v:203:y:2024:i:2:d:10.1007_s10957-024-02510-6. 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.