• DocumentCode
    2999959
  • Title

    A New Mixed Method for Relative Error Model Order Reduction

  • Author

    Shaker, Hamid Reza ; Tabatabaeepour, Mojtaba ; Samavat, Mahmoud ; Gharaveisi, Ali Akbar

  • Author_Institution
    SBUK, Kerman
  • Volume
    2
  • fYear
    2006
  • fDate
    6-9 Aug. 2006
  • Firstpage
    356
  • Lastpage
    360
  • Abstract
    A new mixed method for relative error model order reduction is proposed. In the proposed method the frequency domain balanced stochastic truncation method is improved by applying the generalized singular perturbation method to the frequency domain balanced system in the reduction procedure. Frequency domain balanced stochastic truncation method is based on two recently developed methods, namely frequency domain balanced truncation within a frequency bound and inner-outer factorization techniques. The proposed method is of interest for practical model order reduction because in this context it is important to keep the accuracy of the approximation as high as possible without sacrificing the computational efficiency. Numerical results show the accuracy and flexibility enhancement of the method.
  • Keywords
    perturbation techniques; reduced order systems; stochastic processes; frequency domain balanced stochastic truncation method; generalized singular perturbation method; inner-outer factorization techniques; relative error model order reduction; Automation; Binary search trees; Context modeling; Frequency domain analysis; Hardware; Perturbation methods; Reduced order systems; Stability; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
  • Conference_Location
    San Juan
  • ISSN
    1548-3746
  • Print_ISBN
    1-4244-0172-0
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2006.382286
  • Filename
    4267364