Open AccessModelo Predictivo Borroso de la Aceleración de Cabeceo de Buque de Alta Velocidad
Author(s) -
Francisco Gil Navia,
Juan Contreras
Publication year - 2010
Publication title -
ship science and technology/ciencia y tecnologia de buques/el aprendiz
Language(s) - English
Resource type - Journals
eISSN - 2619-645X
pISSN - 1909-8642
DOI - 10.25043/19098642.25
Subject(s) - computer science , algorithm , fuzzy logic , type (biology) , mathematics , artificial intelligence , ecology , biology
An adaptable fuzzy inference technique is being described in order to generate predictive models of the acceleration of the pitching of a high speed vessel, from the data obtained from the web on an experiment conducted by the University of Iowa. The geometry of interest in the experiment is a scale model of the type 1/46.6 of the DTMB model 5415 (DDG-51). The fuzzy algorithm for the generation of the predictive model uses a triangular partition with a 0.5 overlapping and consequents of the Singleton type. The consequents are adjusted in an automatic fashion by using recursive least squares. The algorithm shows a very low computational complexity rate which allows for it to be used for on line identification.