• DocumentCode
    1396130
  • Title

    Fractional balanced reduction: model reduction via fractional representation

  • Author

    Meyer, David G.

  • Author_Institution
    Courant Inst. of Math. Sci., New York, NY, USA
  • Volume
    35
  • Issue
    12
  • fYear
    1990
  • fDate
    12/1/1990 12:00:00 AM
  • Firstpage
    1341
  • Lastpage
    1345
  • Abstract
    A method for the model reduction of finite-dimensional, linear, time-invariant (FDLTI) plants is proposed which uses normalized fractional representations is proposed. The method, dubbed fractional balanced reduction, applies balance and truncate to a special representation of the graph operator of the plant. This operation yields the graph operator of a reduced order plant. The method has such properties as existence of an a priori error bound in the graph metric and preservation of sector containment. Coupling fractional representations with principal component analysis gives a model reduction method that is capable of producing, in a numerically stable way, a good reduced order model using the whole full order model. Sector properties are also preserved-these are useful for deciding stability when nonlinearities are in the loop
  • Keywords
    graph theory; identification; linear systems; stability; state-space methods; finite dimensional time invariant systems; fractional representation; graph metric; graph operator; linear systems; model reduction; nonlinearities; principal component analysis; reduced order plant; stability; 1f noise; Additive white noise; Linear systems; Principal component analysis; Reduced order systems; Signal processing; Speech processing; State-space methods; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.61011
  • Filename
    61011