Search Results - "pseudo-linear regression algorithms"

  • Showing 1 - 6 results of 6
Refine Results
  1. 1

    On the convergence of pseudo-linear regression algorithms by STOICA, PETRE, SÖDERSTRÖM, TORSTEN, AHLÉN, ANDERS, SOLBRAND, GÓTE

    ISSN: 0020-7179, 1366-5820
    Published: London Taylor & Francis Group 01.01.1985
    Published in International journal of control (01.01.1985)
    “…The convergence properties of a general iterative (off-line) pseudo-linear regression (PLR) algorithm are examined. It is found that the basic form of the…”
    Get full text
    Journal Article
  2. 2

    On the asymptotic accuracy of pseudo-linear regression algorithms by STOICA, P, SODERSTROM, T, AHLEN, A, SOLBRAND, G

    ISSN: 0020-7179, 1366-5820
    Published: London Taylor & Francis Group 01.01.1984
    Published in International journal of control (01.01.1984)
    “…The accuracy properties of a general pseudo-linear regression (PLR) method are examined. Both off-line and on-line algorithms are considered. Assuming the…”
    Get full text
    Journal Article
  3. 3

    Existence of stationary points for pseudo-linear regression identification algorithms by Regalia, P.A., Mboup, M., Ashari, M.

    ISSN: 0018-9286
    Published: New York, NY IEEE 01.05.1999
    Published in IEEE transactions on automatic control (01.05.1999)
    “…The authors prove the existence of a stable transfer function satisfying the nonlinear equations characterizing an asymptotic stationary point, in undermodeled cases, for a class of pseudo-linear…”
    Get full text
    Journal Article
  4. 4

    Algorithms in Time Series by McDougall, Andrew

    ISBN: 9798496597890
    Published: ProQuest Dissertations & Theses 01.01.1988
    “…—linear regression algorithms in the context of off-line and online (real-time) identification. A review of these procedures is presented in Part I in relation to the problem of identifying an appropriate ARMA model from observed time series data…”
    Get full text
    Dissertation
  5. 5

    An estimation algorithm for AR models with closely located lightly damped low frequency poles by Harteneck, M., Stewart, R.W., McWhirter, J.G., Proudler, I.K.

    ISBN: 0818679190, 9780818679193
    ISSN: 1520-6149
    Published: Washington DC IEEE 1997
    “… The adaptive filtering algorithm used, is a pseudo-linear regression algorithm which is solved by a time-recursive QR decomposition…”
    Get full text
    Conference Proceeding
  6. 6

    A CLASS OF ADAPTIVE NONLINEAR H∞–FILTERS WITH GUARANTEED l2-STABILITY by SAYED, A.H., RUPP, M.

    ISBN: 1483296873, 9780080423715, 9781483296876, 008042371X
    Published: Elsevier Ltd 1995
    “…We pose an identification problem that involves a nonlinear output equation and proceed to suggest an approximate linear solution. The approximation is…”
    Get full text
    Book Chapter