• DocumentCode
    490351
  • Title

    Identification in hH via convex programming

  • Author

    Xiong, Dapeng ; Gu, Guoxiang ; Zhou, Kemin

  • Author_Institution
    Department of Electrical and Computer Engineering, Louisiana State University
  • fYear
    1993
  • fDate
    2-4 June 1993
  • Firstpage
    1537
  • Lastpage
    1538
  • Abstract
    Convex programming technique is employed to solve the problem of system identification in H which was first formulated in [6]. A unique feature of this proposed identification algorithm is that it has a performance close to that of Nevanlinna Pick interpolation based algorithm as studied in [1,5] which is strongly optimal within a factor of two. An explicit bound is also derived for the worst case identification error measured in H norm.
  • Keywords
    Algorithm design and analysis; Constraint optimization; Frequency response; Gold; Interpolation; Noise level; Performance analysis; Stability; Surface-mount technology; Virtual private networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1993
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-7803-0860-3
  • Type

    conf

  • Filename
    4793129