• DocumentCode
    581596
  • Title

    Adaptive stabilizing controller design for a class of uncertain feedforward nonlinear systems

  • Author

    Fang, Shang ; Yun-gang, Liu ; Xian-fu, Zhang

  • Author_Institution
    Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Jinan, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    This paper investigates the problem of global stabilization by adaptive state feedback for a class of feedforward nonlinear systems. Different from the existing results, the systems considered have unknown control coefficient with known sign. By introducing the state transformation, the new system is obtained which is convenient for control design. Then, the estimation law for the control coefficient is constructed, and the state feedback controller is proposed with the gain updated on-line. It is shown that the global asymptotic stability of the original system can be guaranteed by appropriate choice of the dynamic gain and the estimation law for the control coefficient. Finally, a simulation example is given to illustrate the correctness of the theoretical results.
  • Keywords
    adaptive control; asymptotic stability; control system synthesis; estimation theory; feedforward; nonlinear control systems; state feedback; uncertain systems; adaptive stabilizing controller design; adaptive state feedback controller; control coefficient estimation law; dynamic gain; global asymptotic stability; online gain update; state transformation; uncertain feedforward nonlinear systems; unknown control coefficient; Adaptive systems; Feedforward neural networks; Feedforward systems; Nonlinear systems; Output feedback; State feedback; Adaptive Control; Feedforward Nonlinear System; Unknown Control Coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6389984