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Type-2 fuzzy logic identification applied to the modeling of a robot hand

Abstract:

In this work, a new application for robot hand identification using type-2 fuzzy intervals is presented. Type-2 identification method by using only input-output data determines the parameters of upper and lower membership functions of interval sets. The identification method was successfully applied to the modeling of a robot hand. Moreover, we show how a type-2 fuzzy model improves the description of the robot hand in comparison with type-1 fuzzy model, if uncertain inputs are considered. © 2008 IEEE.

Año de publicación:

2008

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Algoritmo
    • Robótica

    Áreas temáticas:

    • Ciencias de la computación

    Contribuidores:

    Doris A. SaezDoris A. Saez
    Torres P.Torres P.