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关于可预测环境中的力调节策略。

On force regulation strategies in predictable environments.

作者信息

Kolesnikov Maxim, Piovesan Davide, Lynch Kevin M, Mussa-Ivaldi Ferdinando A

机构信息

Sensory Motor Performance Program, Rehabilitation Institute of Chicago, 345 E Superior St, Chicago, IL 60611, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4076-81. doi: 10.1109/IEMBS.2011.6091013.

DOI:10.1109/IEMBS.2011.6091013
PMID:22255236
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4497819/
Abstract

This paper is focused on investigating force regulation strategies employed by human central nervous system (CNS). The mechanism responsible for force control is extremely important in people's lives, but not yet well understood. We formulate the general model of force regulation and identify several possible control strategies. An experimental approach is used to determine which of the force control strategies could actually be used by the CNS. Obtained results suggest that the force regulation process involves not only the pure force controller, but also a coupled motion controller, relying on the internal model of the environment.

摘要

本文着重研究人类中枢神经系统(CNS)所采用的力调节策略。负责力控制的机制在人们的生活中极其重要,但尚未得到充分理解。我们构建了力调节的通用模型,并确定了几种可能的控制策略。采用实验方法来确定中枢神经系统实际可能使用的力控制策略是哪一种。所得结果表明,力调节过程不仅涉及纯力控制器,还涉及一个依赖于环境内部模型的耦合运动控制器。

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