• DocumentCode
    2418653
  • Title

    Utilization of automatic differentiation in control algorithms

  • Author

    Campbell, Stephen L. ; Moore, Edward ; Zhong, Yangchun

  • Author_Institution
    Dept. of Math., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    122
  • Abstract
    The authors compare an automatic differentiation code and a symbolic approach for the problem of integrating a nonlinear prescribed path control problem. For a small problem either approach is suitable; for problems of moderate size, where many evaluations of the differentiated quantities are required, or for problems where the symbolic computation can be done before a simulation, a symbolically generated FORTRAN subroutine can be preferable. The symbolic approach is also somewhat more natural and a little easier to understand at first. For larger problems, or modest problems involving a moderate number of derivative evaluations, the automatic differentiation code was superior. Automatic differentiation is also superior whenever memory utilization becomes a factor with the symbolic approach
  • Keywords
    FORTRAN; control system analysis computing; differentiation; nonlinear control systems; FORTRAN subroutine; automatic differentiation; differentiated quantities; memory utilization; nonlinear prescribed path control problem; symbolic approach; symbolic computation; Algorithm design and analysis; Algorithms; Automatic control; Computational modeling; Control systems; Controllability; Differential equations; Jacobian matrices; Nonlinear control systems; Nonlinear equations; Observability; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371777
  • Filename
    371777