IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v140y2017icp94-106.html
   My bibliography  Save this article

Selection of reduction parameters for complex plant MIMO LTI models using the evolutionary algorithm

Author

Listed:
  • Rydel, Marek
  • Stanisławski, Włodzimierz

Abstract

This paper discusses the optimal selection of reduction parameters for complex plant models for the Frequency Weighted and the Frequency Domain method together with the Evolutionary Algorithm. The algorithms presented here enable precise reduction of linear time invariant (LTI), multi-input and multi-output (MIMO) models and are particularly useful for models in which the individual channels differ significantly from each other and are characterized by a specific scope of adequacy for the frequency domain. A two-level reduction algorithm was introduced in order to shorten the computation time of the reduction of very high-order models. The algorithms are then applied to the reduction of the models of the BP-1150 steam boiler subsystems.

Suggested Citation

  • Rydel, Marek & Stanisławski, Włodzimierz, 2017. "Selection of reduction parameters for complex plant MIMO LTI models using the evolutionary algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 140(C), pages 94-106.
    • Handle: RePEc:eee:matcom:v:140:y:2017:i:c:p:94-106
    DOI: 10.1016/j.matcom.2017.03.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475417300812
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2017.03.005?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.

    References listed on IDEAS

    as
    1. Chu, Chia-Chi & Lai, Ming-Hong & Feng, Wu-Shiung, 2008. "Model-order reductions for MIMO systems using global Krylov subspace methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(4), pages 1153-1164.
    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. Bonin, Thomas & Faßbender, Heike & Soppa, Andreas & Zaeh, Michael, 2016. "A fully adaptive rational global Arnoldi method for the model-order reduction of second-order MIMO systems with proportional damping," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 122(C), pages 1-19.
    2. Li, Yanpeng & Jiang, Yaolin & Yang, Ping, 2021. "Time domain model order reduction of discrete-time bilinear systems with Charlier polynomials," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 905-920.
    3. Wang, Zhao-Hong & Jiang, Yao-Lin & Xu, Kang-Li, 2023. "Reduced-order state-space models for two-dimensional discrete systems via bivariate discrete orthogonal polynomials," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 212(C), pages 441-456.

    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:eee:matcom:v:140:y:2017:i:c:p:94-106. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.