• DocumentCode
    294302
  • Title

    Least squares: once again, with feeling

  • Author

    Kailath, T.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    2797
  • Abstract
    Summary form only given. Describes how the apparently radically novel subjects of H-control and estimation that have gathered so much attention in the last decade can be fitted into the now-classical Wiener and Kalman setting by making a simple change in the basic framework, but one with deep consequences: working in a particular kind of indefinite metric space (Krein space) rather than in Hilbert space
  • Keywords
    least squares approximations; linear systems; parameter estimation; H-control; H-estimation; Kalman; Wiener; indefinite metric space; Extraterrestrial measurements; Hilbert space; Integral equations; Kalman filters; Least squares methods; Linear systems; Matrices; Nonlinear systems; Random processes; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.478541
  • Filename
    478541