IDEAS home Printed from https://ideas.repec.org/b/spr/spopap/978-3-319-08828-0.html
   My bibliography  Save this book

Turnpike Phenomenon and Infinite Horizon Optimal Control

Author

Listed:
  • Alexander J. Zaslavski

    (Technion - Israel Institute of Technology)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Alexander J. Zaslavski, 2014. "Turnpike Phenomenon and Infinite Horizon Optimal Control," Springer Optimization and Its Applications, Springer, edition 127, number 978-3-319-08828-0, December.
    • Handle: RePEc:spr:spopap:978-3-319-08828-0
    DOI: 10.1007/978-3-319-08828-0
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. János Flesch & Arkadi Predtetchinski & Eilon Solan, 2017. "Sporadic Overtaking Optimality in Markov Decision Problems," Dynamic Games and Applications, Springer, vol. 7(2), pages 212-228, June.
    2. Francesco Bartaloni, 2021. "Existence of the Optimum in Shallow Lake Type Models with Hysteresis Effect," Journal of Optimization Theory and Applications, Springer, vol. 190(2), pages 358-392, August.
    3. Grüne, Lars & Semmler, Willi & Stieler, Marleen, 2015. "Using nonlinear model predictive control for dynamic decision problems in economics," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 112-133.
    4. Galit Ashkenazi-Golan & János Flesch & Arkadi Predtetchinski & Eilon Solan, 2020. "Reachability and Safety Objectives in Markov Decision Processes on Long but Finite Horizons," Journal of Optimization Theory and Applications, Springer, vol. 185(3), pages 945-965, June.
    5. Vivek S. Borkar & Vladimir Gaitsgory, 2019. "Linear Programming Formulation of Long-Run Average Optimal Control Problem," Journal of Optimization Theory and Applications, Springer, vol. 181(1), pages 101-125, April.
    6. Lars Grüne & Christopher M. Kellett & Steven R. Weller, 2017. "On the Relation Between Turnpike Properties for Finite and Infinite Horizon Optimal Control Problems," Journal of Optimization Theory and Applications, Springer, vol. 173(3), pages 727-745, June.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    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:spopap:978-3-319-08828-0. 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.