Por favor, use este identificador para citar o enlazar este ítem: http://bibdigital.epn.edu.ec/handle/15000/9309
Título : Module-oriented automatic differentiation in nonlinear control
Autor : Li, Jin
Tan, Yuejin
Liao, Liangcai
Palabras clave : SISTEMAS DE CONTROL NO LINEAL
Fecha de publicación : 12-mar-2007
Resumen : 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.
URI : http://bibdigital.epn.edu.ec/handle/15000/9309
Aparece en las colecciones: 2005 International Conference on Industrial Electronics and Control Applications (FIEE)

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