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
Link To Document :
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