• DocumentCode
    2249862
  • Title

    A nonlinear least squares estimation procedure without initial parameter guesses

  • Author

    Bonilla, Julián ; Diehl, Moritz ; Moor, Bart De ; Impe, Jan Van

  • Author_Institution
    Dept. of Chem. Eng. CIT/BioTec, Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    5519
  • Lastpage
    5524
  • Abstract
    This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feature exhibited by some dynamic systems. The method attempts to solve a related convex problem and uses its result as the initial guess for the solution of the original nonconvex PEP. The proposed approach is illustrated through two nonconvex parameter estimation study cases; the harmonic oscillator and the Lorenz attractor.
  • Keywords
    least squares approximations; parameter estimation; Lorenz attractor; convex problem; harmonic oscillator; initial parameter guesses; nonlinear least squares estimation; parameter estimation problems; parameter-affine feature; Chemical engineering; Constraint optimization; Least squares approximation; Least squares methods; Nonlinear dynamical systems; Optimization methods; Oscillators; Parameter estimation; Predictive models; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739175
  • Filename
    4739175