• DocumentCode
    1051676
  • Title

    Duality theory for MIMO robust disturbance rejection

  • Author

    Zames, G. ; Owen, J.G.

  • Author_Institution
    Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    38
  • Issue
    5
  • fYear
    1993
  • fDate
    5/1/1993 12:00:00 AM
  • Firstpage
    743
  • Lastpage
    752
  • Abstract
    Banach space duality theory is used to characterize the solutions of a nonstandard H optimization problem which is shown to be allpass in general and unique in the single-input single-output (SISO) ease. The theory leads to a numerical solution of duality and convex optimization, which is applied to an example. For a limiting case of sharp cutoff filters, an explicit solution of the optimal robust disturbance attenuation problem (ORDAP) resembling the two arc theorem of complex analysis is derived
  • Keywords
    duality (mathematics); filtering and prediction theory; optimisation; MIMO robust disturbance rejection; banach space; convex optimization; duality theory; nonstandard H optimization; optimal robust disturbance attenuation problem; sharp cutoff filters; two arc theorem; Artificial intelligence; Attenuation; Control systems; Electronic switching systems; Feedback; Filters; MIMO; Noise reduction; Noise robustness; Optimization methods;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.277238
  • Filename
    277238