Identification of a Nonlinear Pneumatic Servo System Using Modular Neural Networks

dc.contributor.author	Bogadan, Codreş
dc.contributor.author	Puşcaşu, Gheorghe
dc.contributor.author	Murariu, Gabriel
dc.date.accessioned	2016-01-12T08:57:56Z
dc.date.available	2016-01-12T08:57:56Z
dc.date.issued	2010
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3834
dc.description	The Annals of "Dunarea de Jos" University of Galati	en_US
dc.description.abstract	Sometimes, in the case of highly nonlinear systems the traditional approaches of identification and control could be difficult to implement. In this case, a good alternative are the neural networks. In this paper a modular neural network for the identification of a pneumatic servo system is proposed. This approach is based on the partitioning of static characteristic of the pneumatic system. The neural modules are implemented with multilayer neural networks.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunărea de Jos" University of Galati	en_US
dc.subject	modular neural networks	en_US
dc.subject	nonlinear system	en_US
dc.subject	identification	en_US
dc.subject	pneumatic servo system	en_US
dc.title	Identification of a Nonlinear Pneumatic Servo System Using Modular Neural Networks	en_US
dc.type	Article	en_US