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
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;
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
DOI :
10.1109/MED.2009.5164700