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
Link To Document :
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