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带有约束的最小加速度准则意味着,砰砰控制是手臂伸展运动最优轨迹的一项基本原理。

Minimum acceleration criterion with constraints implies bang-bang control as an underlying principle for optimal trajectories of arm reaching movements.

作者信息

Ben-Itzhak Shay, Karniel Amir

机构信息

Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.

出版信息

Neural Comput. 2008 Mar;20(3):779-812. doi: 10.1162/neco.2007.12-05-077.

DOI:10.1162/neco.2007.12-05-077
PMID:18045017
Abstract

Rapid arm-reaching movements serve as an excellent test bed for any theory about trajectory formation. How are these movements planned? A minimum acceleration criterion has been examined in the past, and the solution obtained, based on the Euler-Poisson equation, failed to predict that the hand would begin and end the movement at rest (i.e., with zero acceleration). Therefore, this criterion was rejected in favor of the minimum jerk, which was proved to be successful in describing many features of human movements. This letter follows an alternative approach and solves the minimum acceleration problem with constraints using Pontryagin's minimum principle. We use the minimum principle to obtain minimum acceleration trajectories and use the jerk as a control signal. In order to find a solution that does not include nonphysiological impulse functions, constraints on the maximum and minimum jerk values are assumed. The analytical solution provides a three-phase piecewise constant jerk signal (bang-bang control) where the magnitude of the jerk and the two switching times depend on the magnitude of the maximum and minimum available jerk values. This result fits the observed trajectories of reaching movements and takes into account both the extrinsic coordinates and the muscle limitations in a single framework. The minimum acceleration with constraints principle is discussed as a unifying approach for many observations about the neural control of movements.

摘要

快速伸手动作是检验任何关于轨迹形成理论的绝佳试验台。这些动作是如何规划的?过去曾研究过最小加速度准则,基于欧拉 - 泊松方程得到的解未能预测出手会在静止状态(即加速度为零)开始和结束运动。因此,该准则被摒弃,转而支持最小急动度,事实证明最小急动度在描述人类运动的许多特征方面是成功的。本文采用另一种方法,利用庞特里亚金最小原理求解带约束的最小加速度问题。我们使用最小原理来获得最小加速度轨迹,并将急动度用作控制信号。为了找到不包含非生理脉冲函数的解,假定了对最大和最小急动度值的约束。解析解给出了一个三相分段常数急动度信号(继电控制),其中急动度的大小和两个切换时间取决于最大和最小可用急动度值的大小。这一结果与观察到的伸手动作轨迹相符,并在单一框架中同时考虑了外在坐标和肌肉限制。带约束的最小加速度原理被作为一种统一的方法来讨论许多关于运动神经控制的观察结果。

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