Modelo Predictivo Borroso de la Aceleración de Cabeceo de Buque de Alta Velocidad

Autores/as

  • Francisco Gil Navia
  • Juan Contreras Montes

DOI:

https://doi.org/10.25043/19098642.25

Palabras clave:

identificación borrosa, cabeceo de buque, modelo predictivo borroso, mínimos cuadrados recursivos

Resumen

Se describe una técnica de inferencia borrosa adaptativa para generar modelos predictivos de la aceleración de cabeceo de un buque de alta velocidad, a partir de datos obtenidos de la web de un experimento realizado en la Universidad de Iowa. En el experimento, la geometría de interés es un modelo a escala 1/46.6 del DTMB modelo 5415 (DDG-51). El algoritmo borroso para la generación del modelo predictivo emplea partición triangular con solapamiento de 0.5 y consecuentes tipo singlenton. Los consecuentes son ajustados de manera automática empleando mínimos cuadrados recursivos. El algoritmo presenta una baja complejidad computacional lo que permite su empleo para identificación en línea.

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Publicado

2010-01-30

Cómo citar

Gil Navia, F., & Contreras Montes, J. (2010). Modelo Predictivo Borroso de la Aceleración de Cabeceo de Buque de Alta Velocidad. Ciencia Y tecnología De Buques, 3(6), 67–74. https://doi.org/10.25043/19098642.25

Número

Vol. 3 Núm. 6

Sección

Artículos científicos y tecnológicos

Licencia

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