Regresar

Comparative analysis of neural pbkp_redictive controllers and its application to a laboratory tank system

Abstract:

In this paper, a novel control strategy based on neural networks is proposed in order to reduce the computation effort of a nonlinear pbkp_redictive controller. The proposed method is favorably compared with the nonlinear pbkp_redictive controller and approximated pbkp_redictive controller based on neural networks. Also, the control strategies are designed and evaluated by simulation tests and in real-time for a laboratory tank system.

Año de publicación:

2004

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Sistema de control
    • Red neuronal artificial

    Áreas temáticas:

    • Métodos informáticos especiales
    • Ingeniería y operaciones afines
    • Otras ramas de la ingeniería

    Contribuidores:

    Doris A. SaezDoris A. Saez
    Alayón M.Alayón M.
    Veiga R.Veiga R.