• DocumentCode
    2163905
  • Title

    Neural identification for visual servo control of an underactuated system

  • Author

    Aranda Lopez, Nahum J. ; Ramos Velasco, Luis E. ; Suarez Cansino, Joel

  • Author_Institution
    Master Degree Program in Autom. & Control, Autonomous Univ. of the State of Hidalgo, Pachuca, Mexico
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    2143
  • Lastpage
    2149
  • Abstract
    This paper presents a scheme of neuro identifier for control using visual servoing for a underactuated electromechanical system (inverted pendulum). The neuro identifier receives information about position and angle of the plant as well as the control input through fixed camera, then a model based linear control (LQR) is developed.
  • Keywords
    cameras; electromechanical actuators; linear quadratic control; neurocontrollers; nonlinear systems; pendulums; servomechanisms; visual servoing; LQR; camera; inverted pendulum; model based linear control; neural identification; neuro indetifier; underactuated electromechanical system; underactuated system; visual servo control; visual servoing; Artificial neural networks; Biological neural networks; Cameras; Control systems; Image edge detection; Sensors; DSP´s; Visual servoing; neural network identification; underactuated systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068663