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首页> 外文期刊>Open Systems & Information Dynamics >Nonequilibrium Thermodynamic State Variables of Human Self-Paced Rhythmic Motions: Canonical-Dissipative Approach, Augmented Langevin Equation, and Entropy Maximization
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Nonequilibrium Thermodynamic State Variables of Human Self-Paced Rhythmic Motions: Canonical-Dissipative Approach, Augmented Langevin Equation, and Entropy Maximization

机译:人类自律性节奏运动的非平衡热力学状态变量:标准耗散方法,增强的Langevin方程和熵最大化

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摘要

Nonequilibrium thermodynamic state variables are derived for a stochastic limit-cycle oscillator model that has been used in motor control research to describe human rhythmic limb movements. The nonequilibrium thermodynamic state variables are regarded as counterparts to the thermodynamic state variables entropy, internal energy, and free energy of equilibrium systems. The derivation of the state variables is based on maximum entropy distributions of the Hamiltonian energy of the stochastic limit-cycle oscillators. The limit-cycle oscillator model belongs to the class of canonical-dissipative systems, on the one hand, and, on the other hand, can be cast into the form of an augmented Langevin equation. Both concepts are known as physical models for open systems. Experimental data from paced and self-paced pendulum swinging experiments are presented and estimates for the nonequilibrium thermodynamic state variables are given. Entropy and internal energy increased with increasing oscillation frequency both for the paced and self-paced conditions. Interestingly, the nonequilibrium free energy decayed when oscillation frequency was increased, which is akin to the decay of the Landau free energy when the control parameter is scaled further away from its critical value.
机译:非平衡热力学状态变量是为随机极限循环振荡器模型导出的,该模型已用于运动控制研究中,以描述人类有节奏的肢体运动。非平衡热力学状态变量被认为是平衡系统的热力学状态变量熵,内能和自由能的对应物。状态变量的推导基于随机极限循环振荡器哈密顿能的最大熵分布。一方面,极限循环振荡器模型属于典型耗散系统,另一方面,可以将其转换为增强的Langevin方程的形式。这两个概念都被称为开放系统的物理模型。给出了来自定速和自定速摆摆动实验的实验数据,并给出了非平衡热力学状态变量的估计值。在起搏和自定速度条件下,熵和内能都随着振荡频率的增加而增加。有趣的是,当振荡频率增加时,非平衡自由能衰减,这类似于在控制参数进一步远离其临界值时,Landau自由能的衰减。

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  • 来源
    《Open Systems & Information Dynamics》 |2015年第1期|1550007.1-1550007.22|共22页
  • 作者单位

    CESPA, Department of Psychology, University of Connecticut 406 Babbidge Road, Storrs, CT 06269, USA;

    CESPA, Department of Psychology, University of Connecticut 406 Babbidge Road, Storrs, CT 06269, USA;

    CESPA, Department of Psychology, University of Connecticut 406 Babbidge Road, Storrs, CT 06269, USA;

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