Logo do repositório
 
Publicação

Using a genetic algorithm to obtain a neural network-based model of a real autonomous vehicle

dc.contributor.authorPavon Pulido, Nieves
dc.contributor.authorFerruz Melero, Joaquin
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-05T14:44:09Z
dc.date.available2013-02-05T14:44:09Z
dc.date.issued2008
dc.date.updated2013-01-26T18:09:42Z
dc.description.abstractIn this paper, a set of Radial Basis Function (RBF)neural networks, capable to learn the kinematic and dynamic behavior of the Romeo 4R autonomous vehicle, is presented. In order to obtain a set of good RBF nets in terms of the number of neurons and the number of lagged inputs, a Multi-Objective Genetic Algorithm (MOGA) has been used. The kinematic and dynamic systems of the mobile robot have been split into three subsystems: the steering module, the drive module and the heading module. Each subsystem is modeled with a neural network that learns its behaviour using, among others, a set of lagged outputs as inputs. The outputs from the steering and drive modules are also used as inputs in the heading module. Neural networks - based models are compared to classical approaches.por
dc.identifier.citationPulido, Nieves Pavon; Melero, Joaquin Ferruz; Ruano, A. E. Using a genetic algorithm to obtain a neural network-based model of a real autonomous vehicle, Trabalho apresentado em 2008 IEEE International Symposium on Industrial Electronics (ISIE 2008), In Proceedings of the 2008 IEEE International Symposium on Industrial Electronics, Cambridge, UK, 2008.por
dc.identifier.isbn978-1-4244-1665-3
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2222
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleUsing a genetic algorithm to obtain a neural network-based model of a real autonomous vehiclepor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCambridge, UKpor
oaire.citation.endPage934por
oaire.citation.startPage929por
oaire.citation.titleInternational Symposium on Industrial Electronicspor
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
04677049.pdf
Tamanho:
6.85 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição: