Adaptive neural network control of the Furuta pendulum

Javier Moreno-Valenzuela, Carlos Aguilar-Avelar

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulo

    1 Cita (Scopus)

    Resumen

    The purpose of this chapter is to introduce a novel adaptive neural network-based control scheme for the Furuta pendulum. Adaptation laws for the input and output weights are provided. The proposed controller is able to guarantee tracking of a reference signal for the arm while the pendulum remains in the upright position. Using real-time experiments, the new scheme is compared with other control methodologies, therein demonstrating the improved performance of the proposed adaptive algorithm.

    Idioma originalInglés
    Título de la publicación alojadaIntelligent Systems, Control and Automation
    Subtítulo de la publicación alojadaScience and Engineering
    EditorialSpringer Netherlands
    Páginas93-118
    Número de páginas26
    DOI
    EstadoPublicada - 1 ene 2018

    Serie de la publicación

    NombreIntelligent Systems, Control and Automation: Science and Engineering
    Volumen88
    ISSN (versión impresa)2213-8986
    ISSN (versión digital)2213-8994

    Huella Profundice en los temas de investigación de 'Adaptive neural network control of the Furuta pendulum'. En conjunto forman una huella única.

  • Citar esto

    Moreno-Valenzuela, J., & Aguilar-Avelar, C. (2018). Adaptive neural network control of the Furuta pendulum. En Intelligent Systems, Control and Automation: Science and Engineering (pp. 93-118). (Intelligent Systems, Control and Automation: Science and Engineering; Vol. 88). Springer Netherlands. https://doi.org/10.1007/978-3-319-58319-8_6