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arXiv 2603.16680eess.SYcs.SYmath.APmath.OC
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鲁棒多尺度领导者-跟随者控制大型多智能体系统

Robust multi-scale leader-follower control of large multi-agent systems

University of Naples Federico II(那不勒斯费德里科二世大学);Scuola Superiore Meridionale(南方高等学院)

Davide Salzano, Gian Carlo Maffettone, Mario di Bernardo

AI总结:

本文提出一种鲁棒多尺度领导者-跟随者控制方法,用于处理无法直接控制的多智能体系统,通过局部交互间接引导跟随者,并分析了领导者-跟随者系统的耦合稳定性。

摘要:

在许多实际感兴趣的多智能体系统中,如交通网络或人群疏散,控制动作无法作用于所有智能体。相反,可控的领导者必须通过局部交互间接引导不受控的跟随者。现有结果针对简单、未受扰动的多智能体系统的领导者-跟随者密度控制,或单个直接驱动群体的鲁棒密度控制,但未结合两者。我们通过推导领导者和跟随者在未知有界扰动下的耦合连续描述,并设计一种宏观反馈律,保证跟随者密度渐近收敛到期望分布。通过奇点扰动理论分析领导者-跟随者系统的耦合稳定性,并推导出领导者-跟随者质量比的显式下界。异质偏置随机游走的数值模拟验证了我们的理论发现。

英文摘要:

In many multi-agent systems of practical interest, such as traffic networks or crowd evacuation, control actions cannot be exerted on all agents. Instead, controllable leaders must indirectly steer uncontrolled followers through local interactions. Existing results address either leader-follower density control of simple, unperturbed multi-agent systems or robust density control of a single directly actuated population, but not their combination. We bridge this gap by deriving a coupled continuum description for leaders and followers subject to unknown bounded perturbations, and designing a macroscopic feedback law that guarantees global asymptotic convergence of the followers' density to a desired distribution. The coupled stability of the leader-follower system is analyzed via singular perturbation theory, and an explicit lower bound on the leader-to-follower mass ratio required for feasibility is derived. Numerical simulations on heterogeneous biased random walkers validate our theoretical findings.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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