IDEAS home Printed from https://ideas.repec.org/a/zib/zbnasm/v2y2018i1p9-13.html
   My bibliography  Save this article

Two-Stage Cubature Kalman Filter and its Application in Water Pollution Model

Author

Listed:
  • Zhang Lu

    (School of Electrical and Information Engineering, Quzhou University, Zhejiang, China)

  • Xu Daxing

    (School of Electrical and Information Engineering, Quzhou University, Zhejiang, China)

  • Wang Hailun

    (School of Electrical and Information Engineering, Quzhou University, Zhejiang, China)

Abstract

Water Pollution Model is a nonlinear system which present the random bias. The most common method is to use augmented state Cubature Kalman Filter, but the computational requirement of augmented state Kalman filter may become excessive. It is easily overflow and fail when running on digital computer. In this paper, two-stage Cubature Kalman filter is proposed to solve this problem. The estimate of two-stage Cubature Kalman filter can be expressed as the output of the advanced bias free filter and bias filter. Contrast augmented state Cubature Kalman filter, twostage Cubature Kalman filter is equivalent to the augmented state Cubature Kalman Filter in terms of computational accuracy, but computation is much smaller than augmented state Cubature Kalman Filter. The simulation results prove the validity of the two-stage Cubature Kalman filter in Water Pollution Model and prove the equivalence of the two algorithms.

Suggested Citation

  • Zhang Lu & Xu Daxing & Wang Hailun, 2018. "Two-Stage Cubature Kalman Filter and its Application in Water Pollution Model," Acta Scientifica Malaysia (ASM), Zibeline International Publishing, vol. 2(1), pages 9-13, January.
    • Handle: RePEc:zib:zbnasm:v:2:y:2018:i:1:p:9-13
    DOI: 10.26480/asm.01.2018.09.13
    as

    Download full text from publisher

    File URL: https://actascientificamalaysia.com/download/527/
    Download Restriction: no
    File URL: https://libkey.io/10.26480/asm.01.2018.09.13?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
    ---><---

    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:zib:zbnasm:v:2:y:2018:i:1:p:9-13. 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: Zibeline International Publishing (email available below). General contact details of provider: https://actascientificamalaysia.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.