• DocumentCode
    3599466
  • Title

    A new approach for instantaneous pole placement and its application in control of nonlinear time-varying systems

  • Author

    Karami-Mollaee, Ali ; Karami-Mollaee, M.R.

  • Author_Institution
    Electrical Engineering Department, Tarbiat Modarres Universily (TMU), P.O. Box 141 15-1 43, Tehran, Iran
  • Volume
    16
  • fYear
    2004
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we first show that dynamical recurrent neural networks for online computation of feedback gain that in recent years have been used for pole placement of nonlinear systems is not reliable, and then suggest a new strategy for overcoming its drawback. The result of this strategy is global exponential stability of nonlinear system.
  • Keywords
    Computer networks; Control systems; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear systems; Stability; State feedback; Time varying systems; Vectors; Pole placement; instantaneous linearization; nonlinear control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2004. Proceedings. World
  • Print_ISBN
    1-889335-21-5
  • Type

    conf

  • Filename
    1438623
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3599466