DocumentCode
2122442
Title
Module-oriented automatic differentiation in nonlinear control
Author
Li, Jin ; Tan, Yuejin ; Liao, Liangcai
Author_Institution
Dept. of Manage., Nat. Univ. of Defense Technol., Changsha
fYear
0
fDate
0-0 0
Lastpage
5
Abstract
In this paper, a module-oriented automatic differentiation (MAD) approach is presented based on traditional automatic differentiation algorithms. This approach can well exploit the sparsity of the model by partitioning it into a series of sequential modules and choosing the best differentiation algorithm for each module accordingly. Numerical results show that for nonlinear system, module-oriented automatic differentiation can calculate the Lie derivatives and Jacobians efficiently
Keywords
chemical industry; nonlinear control systems; state-space methods; Lie derivatives; module-oriented automatic differentiation; nonlinear control system; sequential modules series; Automatic control; Chemical processes; Control system synthesis; Control systems; Fluidization; Jacobian matrices; Nonlinear systems; Partitioning algorithms; Process control; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Control Applications, 2005. ICIECA 2005. International Conference on
Conference_Location
Quito
Print_ISBN
0-7803-9419-4
Type
conf
DOI
10.1109/ICIECA.2005.1644346
Filename
1644346
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