Literature DB >> 16436480

Is equilibrium point control feasible for fast goal-directed single-joint movements?

Dinant A Kistemaker1, Arthur J Van Soest, Maarten F Bobbert.   

Abstract

Several types of equilibrium point (EP) controllers have been proposed for the control of posture and movement. EP controllers are appealing from a computational perspective because they do not require solving the "inverse dynamic problem" (i.e., computation of the torques required to move a system along a desired trajectory). It has been argued that EP controllers are not capable of controlling fast single-joint movements. To refute this statement, several extensions have been proposed, although these have been tested using models in which only the tendon compliance, force-length-velocity relation, and mechanical interaction between tendon and contractile element were not adequately represented. In the present study, fast elbow-joint movements were measured and an attempt was made to reproduce these using a realistic musculoskeletal model of the human arm. Three types of EP controllers were evaluated: an open-loop alpha-controller, a closed-loop lambda-controller, and a hybrid open- and closed-loop controller. For each controller we considered a continuous version and a version in which the control signals were sent out intermittently. Only the intermittent hybrid EP controller was capable of generating movements that were as fast as those of the subjects. As a result of the nonlinear muscle properties, the hybrid EP controller requires a more detailed representation of static muscle properties than generally assumed in the context of EP control. In sum, this study shows that fast single-joint movements can be realized without explicitly solving the inverse dynamics problem, but in a less straightforward manner than implied by proponents of conventional EP controllers.

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Mesh:

Year:  2006        PMID: 16436480     DOI: 10.1152/jn.00983.2005

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  16 in total

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2.  Control of position and movement is simplified by combined muscle spindle and Golgi tendon organ feedback.

Authors:  Dinant A Kistemaker; Arthur J Knoek Van Soest; Jeremy D Wong; Isaac Kurtzer; Paul L Gribble
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3.  The cost of moving optimally: kinematic path selection.

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4.  A systems-theoretic analysis of low-level human motor control: application to a single-joint arm model.

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Journal:  J Math Biol       Date:  2019-11-26       Impact factor: 2.259

5.  Effects of spinal cord injury-induced changes in muscle activation on foot drag in a computational rat ankle model.

Authors:  Brian K Hillen; Devin L Jindrich; James J Abbas; Gary T Yamaguchi; Ranu Jung
Journal:  J Neurophysiol       Date:  2015-02-11       Impact factor: 2.714

Review 6.  A geometry- and muscle-based control architecture for synthesising biological movement.

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7.  Redundancy, self-motion, and motor control.

Authors:  V Martin; J P Scholz; G Schöner
Journal:  Neural Comput       Date:  2009-05       Impact factor: 2.026

8.  Is Fitts' law continuous in discrete aiming?

Authors:  Rita Sleimen-Malkoun; Jean-Jacques Temprado; Raoul Huys; Viktor Jirsa; Eric Berton
Journal:  PLoS One       Date:  2012-07-18       Impact factor: 3.240

9.  In vivo dynamics of the musculoskeletal system cannot be adequately described using a stiffness-damping-inertia model.

Authors:  Dinant A Kistemaker; Leonard A Rozendaal
Journal:  PLoS One       Date:  2011-05-27       Impact factor: 3.240

10.  Comparative Sensitivity Analysis of Muscle Activation Dynamics.

Authors:  Robert Rockenfeller; Michael Günther; Syn Schmitt; Thomas Götz
Journal:  Comput Math Methods Med       Date:  2015-08-31       Impact factor: 2.238

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