IDEAS home Printed from https://ideas.repec.org/a/taf/nmcmxx/v11y2005i1p79-93.html
   My bibliography  Save this article

A two-sided Arnoldi algorithm with stopping criterion and MIMO selection procedure

Author

Listed:
  • B Salimbahrami
  • B Lohmann
  • T Bechtold
  • JG Korvink

Abstract

In this paper we introduce a two-sided Arnoldi method for the reduction of high order linear systems and we propose useful extensions, first of all a stopping criterion to find a suitable order for the reduced model and secondly, a selection procedure to significantly improve the performance in the multi-input multi-output (MIMO) case. One application is in micro-electro-mechanical systems (MEMS). We consider a thermo-electric micro thruster model, and a comparison between the commonly used Arnoldi algorithm and the two-sided Arnoldi is performed.

Suggested Citation

  • B Salimbahrami & B Lohmann & T Bechtold & JG Korvink, 2005. "A two-sided Arnoldi algorithm with stopping criterion and MIMO selection procedure," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 11(1), pages 79-93, March.
    • Handle: RePEc:taf:nmcmxx:v:11:y:2005:i:1:p:79-93
    DOI: 10.1080/13873950500052595
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13873950500052595
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13873950500052595?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.

    Citations

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


    Cited by:

    1. Pulch, Roland, 2018. "Model order reduction and low-dimensional representations for random linear dynamical systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 144(C), pages 1-20.
    2. Chun-Yue Chen & Yao-Lin Jiang & Hai-Bao Chen, 2011. "An -embedding model-order reduction approach for differential-algebraic equation systems," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 18(2), pages 223-241, August.

    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:taf:nmcmxx:v:11:y:2005:i:1:p:79-93. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/NMCM20 .

    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.