Module-oriented automatic differentiation in nonlinear control

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Li, Jin	es_ES
dc.contributor.author	Tan, Yuejin	es_ES
dc.contributor.author	Liao, Liangcai	es_ES
dc.date.accessioned	2007-03-12T15:21:21Z	es_ES
dc.date.accessioned	2010-09-07T16:32:53Z	es_ES
dc.date.accessioned	2011-03-10T14:33:27Z	-
dc.date.available	2007-03-12T15:21:21Z	es_ES
dc.date.available	2010-09-07T16:32:53Z	es_ES
dc.date.available	2011-03-10T14:33:27Z	-
dc.date.issued	2007-03-12T15:21:21Z	es_ES
dc.identifier.uri	http://bibdigital.epn.edu.ec/handle/15000/9309	es_ES
dc.description.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.	es_ES
dc.language.iso	eng	es_ES
dc.rights	openAccess	-
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/	-
dc.subject	SISTEMAS DE CONTROL NO LINEAL	es_ES
dc.subject.other	NONLINEAR CONTROL SYSTEMS	es_ES
dc.title	Module-oriented automatic differentiation in nonlinear control	es_ES
dc.type	Article	es_ES
Aparece en las colecciones:	2005 International Conference on Industrial Electronics and Control Applications (FIEE)

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