• DocumentCode
    2851597
  • Title

    A parameter estimation method of nonlinear system

  • Author

    Liu, Guangjun ; Xu, Xiaoping ; Wang, Feng

  • Author_Institution
    Sch. of Sci., Xi´´an Univ. of Technol., Xi´´an, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    396
  • Lastpage
    398
  • Abstract
    Nonlinear system parameter estimation is a main topic of modern identification. In accordance with the variety of models of nonlinear systems, this paper proposed a general parameter estimation method based on particle swarm optimization algorithm, which can be used in most kinds of nonlinear system model. This method was applied to simulating parameter estimation of several different examples of nonlinear system. The simulation results indicated that the method is effective and feasibilitive.
  • Keywords
    nonlinear systems; parameter estimation; particle swarm optimisation; modern identification; nonlinear system model; parameter estimation method; particle swarm optimization algorithm; Estimation; nonlinear system; parameter estimation; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258674
  • Filename
    6258674
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2851597