PD-type self-tuning regulator for trajectory tracking using RBF neural networks

Simple item page
dc.contributorCARLOS MUÑIZ MONTERO;102497es
dc.contributor.advisorMuñiz Montero, Carlos
dc.contributor.authorCoyotecatl Cuautle, Donaciano
dc.creatorDONACIANO COYOTECATL CUAUTLE;366051es
dc.date.accessioned2018-06-10T22:44:15Z
dc.date.available2018-06-10T22:44:15Z
dc.date.issued2014-09-30
dc.description.statementofresponsibilityEstudianteses
dc.identifier.citationCoyotecatl C. D. 2014. PD-type self-tuning regulator for trajectory tracking using RBF neural networks. Universidad Politécnica de Puebla. Departamento de Posgrado. Cartel de Simposium.es
dc.identifier.urihttp://repositorio.uppuebla.edu.mx:8080/xmlui/handle/123456789/91
dc.languageIngléses
dc.publisherUniversidad Politécnica de Pueblaes
dc.relationVersión publicadaes
dc.relation.ispartofREPOSITORIO NACIONAL CONACYTes
dc.rightsAcceso Abiertoes
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0es
dc.subject.classificationINGENIERÍA Y TECNOLOGÍAes
dc.titlePD-type self-tuning regulator for trajectory tracking using RBF neural networkses
dc.typePóster de congresoes

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
MIAPI-Coyotecatl-Donaciano.pdf
Size:
2.58 MB
Format:
Adobe Portable Document Format
Description:
Cartel del Simposium de Posgrado. 2014.
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
47 B
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Carteles