• DocumentCode
    2853511
  • Title

    A nonlinear optimal human postural regulator

  • Author

    Yao Li ; Levine, W.S. ; Yonghong Yang ; Chengqi He

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    5420
  • Lastpage
    5425
  • Abstract
    A postural control model for a quietly standing human is proposed. The musculoskeletal dynamics of the human is modeled as a triple inverted pendulum in the sagittal plan, including ankle, knee and hip joints. A nonlinear optimal control problem is defined to study the postural sway. It has a performance measure with quadratic terms in the controls and a quartic term in either the center of pressure (COP) or the horizontal projection of the center of mass (COM). This objective function provides a trade-off between the allowed deviations from the nominal value and the neuromuscular energy required to correct for these deviations. By using the Model Predictive Control (MPC) technique, the discrete-time approximation to each of these problems is converted into a nonlinear programming problem and then solved. The solution gives a control scheme that demonstrates qualitative agreement to the main features of the joint kinematics and coordination observed experimentally.
  • Keywords
    biocontrol; discrete time systems; gait analysis; nonlinear control systems; nonlinear programming; optimal control; pendulums; predictive control; ankle joint; center of mass; center of pressure; discrete-time approximation; hip joint; joint kinematics; knee joint; model predictive control; musculoskeletal dynamics; neuromuscular energy; nonlinear optimal control problem; nonlinear optimal human postural regulator; nonlinear programming; objective function; postural control; sagittal plan; triple inverted pendulum; Biological system modeling; Hip; Humans; Joints; Mathematical model; Optimal control; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991184
  • Filename
    5991184