IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2023i1p46-d1305990.html
   My bibliography  Save this article

Some Inverse Problems of Two-Dimensional Stokes Flows by the Method of Fundamental Solutions and Kalman Filter

Author

Listed:
  • Yeqin Shao

    (School of Transportation and Civil Engineering, Nantong University, No. 9, Seyuan Rd., Nantong 226019, China
    School of Information Science and Technology, Nantong University, Nantong 226019, China)

  • Quan Jiang

    (School of Transportation and Civil Engineering, Nantong University, No. 9, Seyuan Rd., Nantong 226019, China
    School of Science, Nantong University, No. 9, Seyuan Rd., Nantong 226019, China)

Abstract

Some inverse problems of Stokes flow, including noisy boundary conditions, unknown angular velocity, and dynamic viscous constant identification are studied in this paper. The interpolation equations for those inverse problems are constructed using the method of fundamental solutions (MFS). Based on the noise addition technique, the inverse problems are solved using MFS and a Kalman filter. It is seen from numerical experiments that these approaches and algorithms are valid and have strong robustness and high accuracy in solving inverse Stokes problems.

Suggested Citation

  • Yeqin Shao & Quan Jiang, 2023. "Some Inverse Problems of Two-Dimensional Stokes Flows by the Method of Fundamental Solutions and Kalman Filter," Mathematics, MDPI, vol. 12(1), pages 1-24, December.
  • Handle: RePEc:gam:jmathe:v:12:y:2023:i:1:p:46-:d:1305990
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/1/46/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/1/46/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Ting & Tang, Mingchun & Wang, Pin & Zhang, Xinzheng, 2016. "Suitable or optimal noise benefits in signal detectionAuthor-Name: Liu, Shujun," Chaos, Solitons & Fractals, Elsevier, vol. 85(C), pages 84-97.
    2. Felipe I. Villenas & Francisco J. Vargas & Andrés A. Peters, 2023. "A Kalman-Based Compensation Strategy for Platoons Subject to Data Loss: Numerical and Empirical Study," Mathematics, MDPI, vol. 11(5), pages 1-26, March.
    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.
    1. Felipe I. Villenas & Francisco J. Vargas & Andrés A. Peters, 2023. "Exploring the Role of Sampling Time in String Stabilization for Platooning: An Experimental Case Study," Mathematics, MDPI, vol. 11(13), pages 1-18, June.
    2. Xie, Tianting & Ji, Yuandong & Yang, Zhongshan & Duan, Fabing & Abbott, Derek, 2023. "Optimal added noise for minimizing distortion in quantizer-array linear estimation," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

    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:12:y:2023:i:1:p:46-:d:1305990. 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: 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.