智能活性物质自主控制中的耗散-精度权衡
Dissipation-accuracy tradeoffs in autonomous control of smart active matter
AI总结：
本研究探讨自导向活性智能体在波动和外部流动下定位或追踪轨迹的能量成本，揭示耗散与精度间的根本权衡，并提出最小能耗的最优转向策略。
摘要：
智能体运动控制的研究为系统探索远离平衡态运行的仿生微型机器基本物理约束提供了一个有前景的平台。在此，我们探讨了在波动和外部流动影响下，自导向活性智能体将自身定位到特定空间区域或遵循预定轨迹所需的能量成本问题。基于该问题的随机热力学表述，我们推导出耗散与定位精度之间的通用关系，揭示了限制智能体性能的基本耗散-精度权衡。此外，我们展示了我们的框架如何能够推导出以最小能量消耗实现定位的最优转向策略。
英文摘要：
The study of motility control by smart agents offers a promising platform for systematically exploring the fundamental physical constraints underlying the functioning of bio-inspired micro-machines operating far from equilibrium. Here, we address the question of the energy cost required for a self-steering active agent to localise itself within a specific region of space or follow a pre-defined trajectory under the influence of fluctuations and external flows. Building on a stochastic thermodynamic formulation of the problem, we derive a generic relationship between dissipation and localisation accuracy, which reveals a fundamental dissipation-accuracy tradeoff constraining the agent's performance. In addition, we illustrate how our framework enables the derivation of optimal steering policies that achieve localisation at minimum energy expenditure.
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