• DocumentCode
    1751714
  • Title

    Applying extended automatic differentiation technique to process system optimization problems

  • Author

    Xiang, Li ; Weitao, Zhong ; Zhijiang, Shao ; Jixin, Qian

  • Author_Institution
    Inst. of Syst. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4079
  • Abstract
    An extended automatic differentiation (XAD) algorithm is developed to generate the derivative expressions which are coded into subroutines to replace the first derivative evaluation module of the SQP algorithm. Numerical results show that the derivative evaluation by derivative expressions, which is produced by XAD, is much faster than that by finite-difference approximation and plain automatic differentiation. A significant enhancement in optimization efficiency is also obtained by employing XAD technique instead of derivative approximation method
  • Keywords
    differentiation; finite difference methods; optimisation; symbol manipulation; SQP algorithm; derivative approximation method; derivative evaluation module; derivative expressions; extended automatic differentiation; finite-difference approximation; plain automatic differentiation; process system optimization problems; Algorithms; Approximation methods; Convergence; Cost function; Finite difference methods; Jacobian matrices; Lagrangian functions; Optimization methods; Quadratic programming; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.946354
  • Filename
    946354