• DocumentCode
    1444704
  • Title

    On formal power series representations for uncertain systems

  • Author

    Beck, Carolyn

  • Author_Institution
    Dept. of Gen. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    46
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    The concept of minimality as developed for uncertain and multidimensional systems represented by linear fractional transformations (LFTs) is related to realization theory results for formal power series. We discuss the relationship between the notions of minimality for LFT and series realizations, and present a method for obtaining one type of minimal realization from the opposing type. An extension of an existing minimality result for formal power series to the multi-input-multi-output (MIMO) case is also presented
  • Keywords
    Hankel matrices; MIMO systems; multidimensional systems; realisation theory; series (mathematics); state-space methods; uncertain systems; formal power series representations; linear fractional transformations; minimality; multi-input-multi-output systems; realization theory; series realizations; Adaptive filters; Additive noise; Filtering algorithms; Least squares approximation; Resonance light scattering; Robustness; Signal processing algorithms; State estimation; Uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.905701
  • Filename
    905701