• DocumentCode
    1318753
  • Title

    Multivariable Adaptive Backstepping Control: A Norm Estimation Approach

  • Author

    Chenliang Wang ; Yan Lin

  • Author_Institution
    Sch. of Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • Volume
    57
  • Issue
    4
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    989
  • Lastpage
    995
  • Abstract
    In this note, a novel output-feedback adaptive backstepping control is proposed for linear time-invariant multivariable plants under a mild assumption that the Hurwitz condition for high-frequency gain matrix is satisfied. By estimating the norm of those unknown parameter matrices instead of their elements, it is shown that only one parameter needs to be updated online and therefore, the computational burden can be greatly reduced compared with any current multivariable adaptive control scheme.
  • Keywords
    adaptive control; estimation theory; feedback; linear systems; matrix algebra; multivariable control systems; Hurwitz condition; high-frequency gain matrix; linear time-invariant multivariable plants; multivariable adaptive backstepping control; norm estimation; output-feedback adaptive backstepping control; parameter matrices; Adaptation models; Adaptive control; Backstepping; Equations; Estimation; Lyapunov methods; Tuning; Adaptive control; backstepping; multivariable plants; output-feedback;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2167815
  • Filename
    6017103