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Control of the 1D continuous version of the Cucker-Smale model*

机译:控制Cucker-Smale模型的一维连续版本*

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The well-known Cucker-Smale model is a microscopic system reproducing the alignment of velocities in a group of autonomous agents. Here, we focus on its mean-field limit, which we call the continuous Cucker-Smale model. It is a transport partial differential equation with nonlocal terms. For some choices of the parameters in the Cucker-Smale model (and the continuous one), alignment is not ensured for some initial configurations, therefore it is natural to study the enforcing of alignment via an external force. We provide a control strategy enforcing alignment for every initial data and acting only on a small portion of the crowd at each time. This is an adapted version of the sparse control for a finite number of agent, that is the constraint of acting on a small number of agents at each time.
机译:众所周知的Cucker-Smale模型是一个微观系统,可再现一组自治代理中的速度对齐。在这里,我们关注其平均场极限,我们称其为连续的Cucker-Smale模型。它是一个带有非局部项的运输偏微分方程。对于Cucker-Smale模型(以及连续模型)中的某些参数选择,对于某些初始配置,无法保证对齐,因此,通过外力研究对齐的强制性是很自然的。我们提供了一种控制策略,要求对每个初始数据进行对齐,并且每次仅作用于一小部分人群。这是针对有限数量的代理的稀疏控件的一种适应版本,即每次都作用于少量代理的约束。

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