SELECTION AND TUNING OF CONTROLLERS, BY EVOLUTIONARY ALGORITHMS: APPLICATION TO FAST FERRIES CONTROL

Parrilla Sánchez, M., Aranda Almansa, Joaquín y Díaz Martínez, José Manuel . (2004) SELECTION AND TUNING OF CONTROLLERS, BY EVOLUTIONARY ALGORITHMS: APPLICATION TO FAST FERRIES CONTROL. IFAC


Título SELECTION AND TUNING OF CONTROLLERS, BY EVOLUTIONARY ALGORITHMS: APPLICATION TO FAST FERRIES CONTROL
Autor(es) Parrilla Sánchez, M.
Aranda Almansa, Joaquín
Díaz Martínez, José Manuel
Abstract Evolutionary algorithms have been shown very efficient tuning controllers, whose structure has been previously established. In this work, a step forward in the automation of the controllers design process will be tried, an algorithm is implemented which is able to select the appropriate controller structure and to tune it. By means of this procedure, a controller to reduce the motion sickness incidence on a high-speed ship, will be designed. The algorithm will be implemented using parallelization techniques.
Palabras clave genetic algorithms
ship control
parallel computation
Editor(es) IFAC
Fecha 2004-01-01
Identificador PAD2004
bibliuned:674
Publicado en la Revista IFAC
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
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Creado: Fri, 16 Nov 2007, 15:25:19 CET