• DocumentCode
    784257
  • Title

    A Method for Nonlinear Least Squares With Structured Residuals

  • Author

    Shaw, Steven R. ; Laughman, Christopher R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT
  • Volume
    51
  • Issue
    10
  • fYear
    2006
  • Firstpage
    1704
  • Lastpage
    1708
  • Abstract
    This note develops a modification of standard nonlinear least squares methods with reduced sensitivity to the quality of the initial guess. The technique is presented in the context of least squares fitting of dynamic system models, but may apply to other kinds of problems. The performance of the technique is compared to standard methods for a variety of test problems
  • Keywords
    least squares approximations; reduced order systems; sensitivity analysis; time-varying systems; dynamic system model; nonlinear least squares method; reduced sensitivity; structured residuals; Computer architecture; Context modeling; Convergence; Electronic mail; Gaussian processes; Least squares methods; Nonlinear dynamical systems; Standards development; System identification; Testing; Nonlinear least squares; optimization; system identification;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2006.883036
  • Filename
    1707894
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=784257