IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i24p3240-d702351.html
   My bibliography  Save this article

Review of the Latest Progress in Controllability of Stochastic Linear Systems and Stochastic GE-Evolution Operator

Author

Listed:
  • Zhaoqiang Ge

    (School of Mathematics and Statistics, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an 710049, China)

Abstract

According to the spatial dimension, equation type, and time sequence, the latest progress in controllability of stochastic linear systems and some unsolved problems are introduced. Firstly, the exact controllability of stochastic linear systems in finite dimensional spaces is discussed. Secondly, the exact, exact null, approximate, approximate null, and partial approximate controllability of stochastic linear systems in infinite dimensional spaces are considered. Thirdly, the exact, exact null and impulse controllability of stochastic singular linear systems in finite dimensional spaces are investigated. Fourthly, the exact and approximate controllability of stochastic singular linear systems in infinite dimensional spaces are studied. At last, the controllability and observability for a type of time-varying stochastic singular linear systems are studied by using stochastic GE-evolution operator in the sense of mild solution in Banach spaces, some necessary and sufficient conditions are obtained, the dual principle is proved to be true, an example is given to illustrate the validity of the theoretical results obtained in this part, and a problem to be solved is introduced. The main purpose of this paper is to facilitate readers to fully understand the latest research results concerning the controllability of stochastic linear systems and the problems that need to be further studied, and attract more scholars to engage in this research.

Suggested Citation

  • Zhaoqiang Ge, 2021. "Review of the Latest Progress in Controllability of Stochastic Linear Systems and Stochastic GE-Evolution Operator," Mathematics, MDPI, vol. 9(24), pages 1-42, December.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3240-:d:702351
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/24/3240/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/24/3240/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Zhaoqiang Ge, 2022. "Approximate Controllability of Semilinear Stochastic Generalized Systems in Hilbert Spaces," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    2. Zhaoqiang Ge, 2023. "Controllability of Semilinear Stochastic Generalized Systems in Hilbert Spaces by GE-Evolution Operator Method," Mathematics, MDPI, vol. 11(3), pages 1-26, February.
    3. Zhaoqiang Ge, 2022. "Linear Quadratic Optimal Control Problem for Linear Stochastic Generalized System in Hilbert Spaces," Mathematics, MDPI, vol. 10(17), pages 1-20, August.

    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:gam:jmathe:v:9:y:2021:i:24:p:3240-:d:702351. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.