• DocumentCode
    2906087
  • Title

    Multi-output system identification using evolutionary programming

  • Author

    Andersen, B.L. ; Page, W.C. ; McDonnell, J.R.

  • Author_Institution
    US Naval Ocean Syst. Center, San Diego, CA, USA
  • fYear
    1991
  • fDate
    4-6 Nov 1991
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    The use of evolutionary programming (EP) in system identification of single-input-multiple-output (SIMO) systems is studied. EP is used to identify parameters of a linear time-invariant system. Specifically, the identification of SIMO systems whose measurements can contain different amounts of noise is examined. A cost function is proposed to take into account disparate noisy observations
  • Keywords
    optimisation; parameter estimation; stochastic processes; cost function; disparate noisy observations; evolutionary programming; genetic algorithms; linear time-invariant system; single input multiple output systems; system identification; Genetic programming; Gradient methods; Noise measurement; Oceans; Parameter estimation; Sea measurements; Stochastic processes; System identification; Transfer functions; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-2470-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.1991.186508
  • Filename
    186508
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2906087