Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/244098
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Autonomous car fuzzy control modeled by iterative genetic algorithms |
Autor: | Onieva, Enrique; Alonso, Javier; Pérez Rastelli, Joshué Manuel CSIC; Milanés, Vicente CSIC ORCID; Pedro Lucio, Teresa de CSIC | Fecha de publicación: | 2009 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | IEEE International Conference on Fuzzy Systems 1615-1620 (2009) | Resumen: | The techniques of soft computing are recognized as having a strong learning and cognition capability as well as good tolerance to uncertainty and imprecision. These properties allow them to be applied successfully to intelligent transportation systems (ITS), a broad range of diverse technologies that designed to answer many transportation problems. The unmanned control of the steering wheel is one of the most important challenges faced by researchers in this area. This paper presents a method of automatically adjusting a fuzzy controller to manage the steering wheel of a mass-produced vehicle. Information about the state of the car while a human driver is handling it is captured and used to search, via genetic algorithms, for the best fit of an appropriate fuzzy controller. Evaluation of the fuzzy controller will take into account its adjustment to the human driver's actions and the absence of abrupt changes in its control surface, so that not only is the route tracking good, but the drive is smooth and comfortable for the vehicle's occupants. | Descripción: | Trabajo presentado en el IEEE International Conference on Fuzzy Systems, celebrado en Jeju, Korea (South), del 20 al 24 de agosto de 2009 | Versión del editor: | http://dx.doi.org/10.1109/FUZZY.2009.5277397 | URI: | http://hdl.handle.net/10261/244098 | DOI: | 10.1109/FUZZY.2009.5277397 | ISBN: | 978-142443597-5 | ISSN: | 1098-7584 |
Aparece en las colecciones: | (IAI) Libros y partes de libros |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
73
checked on 13-may-2024
Download(s)
24
checked on 13-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.