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
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