• DocumentCode
    321410
  • Title

    Multivariable adaptive actuator nonlinearity compensation

  • Author

    Tao, Gang ; Ling, Yi

  • Author_Institution
    Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    2858
  • Abstract
    Many control systems are multivariable. Coupling dynamics in a multivariable system make it essentially more difficult to control than a single-variable system. In this paper, two adaptive schemes are developed for compensation of unknown nonsmooth nonlinearities at the input of a known multivariable linear plant: one with a state feedback design and the other with an output feedback design, based on a multivariable parameter estimation algorithm for coupled error models. Unlike their single-variable counterparts, some of the multivariable adaptive actuator nonlinearity compensation problems still remain unsolved if the linear plant is also unknown
  • Keywords
    state feedback; coupled error models; coupling dynamics; multivariable adaptive actuator; multivariable linear plant; multivariable parameter estimation algorithm; nonlinearity compensation; output feedback design; state feedback design; unknown nonsmooth nonlinearities; Adaptive control; Aerospace control; Algorithm design and analysis; Control systems; Hydraulic actuators; Linearity; MIMO; Nonlinear control systems; Output feedback; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.657853
  • Filename
    657853