论文标题
可编程活性物质群中的模式稳定：探测大长度尺寸的湍流
Pattern stabilisation in swarms of programmable active matter: a probe for turbulence at large length scales
论文作者
论文摘要
我们提出了一种算法，用于创建以任何给定模式排列的稳定，有序的活跃机器人代理。该策略涉及抑制一类称为“非植物”位移的波动，即。那些涉及参考模式的非线性变形，而所有（或大多数）仿射变形的人。我们表明，可以使用与平均功率输入消失的精确，波动的，推力力来实现这一目标。我们研究的一个令人惊讶的结果是，一旦将群的结构保持在稳态状态，基础流场的统计数据仅取决于稳定群体所需的力的统计数据。
We propose an algorithm for creating stable, ordered, swarms of active robotic agents arranged in any given pattern. The strategy involves suppressing a class of fluctuations known as "non-affine" displacements, viz. those involving non-linear deformations of a reference pattern, while all (or most) affine deformations are allowed. We show that this can be achieved using precisely calculated, fluctuating, thrust forces associated with a vanishing average power input. A surprising outcome of our study is that once the structure of the swarm is maintained at steady state, the statistics of the underlying flow field is determined solely from the statistics of the forces needed to stabilize the swarm.
