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
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;
Conference_Titel :
Industrial Electronics and Control Applications, 2005. ICIECA 2005. International Conference on
Conference_Location :
Quito
Print_ISBN :
0-7803-9419-4
DOI :
10.1109/ICIECA.2005.1644346
