• DocumentCode
    2087630
  • Title

    Approximated feedback linearization of nonlinear systems

  • Author

    Jang, Yu Jin ; Kim, Sang Woo

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    582
  • Abstract
    Obtaining a linearizing feedback and a coordinate transformation map is very difficult, even though the system is feedback linearizable. It is known that finding a desired transformation map and feedback is equivalent to finding an integrating factor for an annihilating one-form for single input nonlinear systems. It is also known that such an integrating factor can be approximated using the simple CIR method and tensor product splines. In the paper, it is shown that m integrating factors can always be approximated whenever a nonlinear system with m inputs is feedback linearizable. Next, m zero-forms can be constructed by utilizing these m integrating factors and the same methodology in the single input case. Hence, the coordinate transformation map is obtained.
  • Keywords
    feedback; matrix algebra; multivariable control systems; nonlinear control systems; splines (mathematics); tensors; CIR method; annihilating one-form; approximated feedback linearization; coordinate transformation map; integrating factor; linearizing feedback; nonlinear systems; single input nonlinear systems; tensor product splines; Control systems; Feedback; Gratings; Linear approximation; Linear systems; Multi-layer neural network; Neurofeedback; Nonlinear systems; Tensile stress; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1024868
  • Filename
    1024868