• DocumentCode
    2542875
  • Title

    An optimal model predictive control model for human postural regulation

  • Author

    Li, Yao ; Levine, William S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland at Coll. Park, College Park, MD, USA
  • fYear
    2009
  • fDate
    24-26 June 2009
  • Firstpage
    1143
  • Lastpage
    1148
  • Abstract
    A series of convex optimal control problems is proposed as mathematical models of human postural control during quiet standing. The human body is modeled as a two-segment inverted pendulum controlled by a joint torque. Several performance criteria that are quartic in the state and quadratic in the control are utilized. The discrete-time approximation to each of these problems is a convex programming problem. These problems can be solved by the Newton-KKT method. The solutions exhibit many of the experimentally observed postural control phenomena, especially, greater sway than would occur with a linear feedback control without delay.
  • Keywords
    Newton method; approximation theory; convex programming; discrete time systems; feedback; linear systems; medical control systems; nonlinear control systems; optimal control; pendulums; predictive control; torque control; Newton-KKT method; convex programming problem; discrete-time approximation; human postural regulation; joint torque control; linear feedback control; mathematical model; optimal model predictive control model; performance criteria; two-segment inverted pendulum; Biological system modeling; Feedback control; Humans; Joints; Linear feedback control systems; Mathematical model; Optimal control; Predictive control; Predictive models; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-4684-1
  • Electronic_ISBN
    978-1-4244-4685-8
  • Type

    conf

  • DOI
    10.1109/MED.2009.5164700
  • Filename
    5164700