U.S. Naval Research Laboratory, Code 6792, Plasma Physics Division, Nonlinear Dynamical Systems Section, Washington, DC, USA.
Johns Hopkins University, Bloomberg School of Public Health, Department of Epidemiology, Baltimore, Maryland, USA.
Phys Rev E. 2016 Mar;93(3):032307. doi: 10.1103/PhysRevE.93.032307. Epub 2016 Mar 7.
The formation of coherent patterns in swarms of interacting self-propelled autonomous agents is a subject of great interest in a wide range of application areas, ranging from engineering and physics to biology. In this paper, we model and experimentally realize a mixed-reality large-scale swarm of delay-coupled agents. The coupling term is modeled as a delayed communication relay of position. Our analyses, assuming agents communicating over an Erdös-Renyi network, demonstrate the existence of stable coherent patterns that can be achieved only with delay coupling and that are robust to decreasing network connectivity and heterogeneity in agent dynamics. We also show how the bifurcation structure for emergence of different patterns changes with heterogeneity in agent acceleration capabilities and limited connectivity in the network as a function of coupling strength and delay. Our results are verified through simulation as well as preliminary experimental results of delay-induced pattern formation in a mixed-reality swarm.
群体中相互作用的自主自治代理的连贯模式的形成是一个广泛的应用领域非常感兴趣的主题,从工程和物理到生物学。在本文中,我们对延迟耦合代理的混合现实大规模群体进行建模和实验实现。耦合项被建模为位置的延迟通信中继。我们的分析假设代理在 Erdös-Renyi 网络上进行通信,证明了只有延迟耦合才能实现稳定的连贯模式,并且对网络连接性的降低和代理动态的异质性具有鲁棒性。我们还展示了随着代理加速能力的异质性和网络连接的限制作为耦合强度和延迟的函数的变化,不同模式出现的分岔结构如何变化。我们的结果通过模拟以及延迟诱导的混合现实群体中模式形成的初步实验结果得到验证。