• DocumentCode
    1617243
  • Title

    Indentification of dynamic systems: a systematic approach

  • Author

    Zhu, Hai-An ; Hung, James C.

  • Author_Institution
    AI & Robot Inst., Xi´´an Jiaotong Univ., China
  • fYear
    1990
  • Firstpage
    131
  • Abstract
    A systematic procedure of parameter estimation for dynamic systems is presented as a basic approach for system modeling and control. With this approach, parameters of linear discrete- and/or continuous-time, multivariable dynamic systems can be estimated. The proposed technique has advantages over most of the existing techniques, such as flexibility, computational simplicity, and straightforwardness. On the basis of this concept as well as the derived algorithms, some new algorithms of system identification can be derived. Identification practice has demonstrated that the proposed approach gives good results
  • Keywords
    discrete time systems; linear systems; multivariable control systems; parameter estimation; algorithms; continuous time systems; dynamic systems; linear discrete time systems; multivariable dynamic systems; parameter estimation; Artificial intelligence; Control system analysis; Control system synthesis; Control theory; Difference equations; Parameter estimation; Recursive estimation; Robots; State estimation; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    0-87942-600-4
  • Type

    conf

  • DOI
    10.1109/IECON.1990.149124
  • Filename
    149124