• DocumentCode
    1707170
  • Title

    Identification of hammerstein model

  • Author

    Jia Li ; Li Xun-Long

  • Author_Institution
    Dept. of Autom., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • Firstpage
    1895
  • Lastpage
    1899
  • Abstract
    Hammerstein model has the characteristics of simple structure and easy identified parameters, which can be used to model common nonlinear systems. In this paper, through extensive research, the identification methods of Hammerstein model are classified into two directions: synchronous identification and multi-step identification of static nonlinearity with dynamic linearity. Under these two directions, this paper surveys the identification methods of Hammerstein model and the newest achievements in this subject, it also points out the directions of the future development.
  • Keywords
    identification; nonlinear control systems; Hammerstein model identification; dynamic linearity; multistep identification; static nonlinearity; synchronous identification; Automation; Conferences; Convergence; Educational institutions; MIMO; Nonlinear systems; System identification; Hammerstein model; Model identification; structure identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6639736