• DocumentCode
    3123138
  • Title

    From IIR to FIR Digital MIMO Models: A Constructive Hankel Norm Approximation Method

  • Author

    Chai, Li ; Zhang, Jingxin ; Zhang, Cisheng ; Mosca, Edoardo

  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    5893
  • Lastpage
    5898
  • Abstract
    This paper presents a constructive method to (sub)optimal finite impulse response (FIR) approximation of a given infinite impulse response (IIR) MIMO model. The method minimizes the Hankel norm of approximation error by using the explicit solution of norm-preserve dilation problem. It has the advantage over the existing methods that it provides an explicitly constructive solution and allows the trade-off between the Chebyshev and least square criteria. The lower and upper bounds on the H2and H∞norms of approximation error are given. The algorithm for approximating non-causal IIR filters by causal FIR filters is also formulated and solved. The effectiveness and properties of the proposed algorithm are demonstrated through two examples.
  • Keywords
    FIR approximation; Hankel-norm; IIR filters; mixed norm design; norm-preserve dilation; Approximation error; Approximation methods; Chebyshev approximation; Finite impulse response filter; IIR filters; Least squares approximation; Least squares methods; MIMO; Systems engineering and theory; Upper bound; FIR approximation; Hankel-norm; IIR filters; mixed norm design; norm-preserve dilation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1583104
  • Filename
    1583104