Abstract：
Molecular communication (MC) is recently featured as a novel communication tool to connect individual biological nanorobots. It is expected that a large number of nanorobots can form large multi-agent MC systems through MC to accomplish complex and large-scale tasks that cannot be achieved by a single nanorobot. However, most previous models for MC systems assume a unidirectional diffusion communication channel and cannot capture the feedback between each nanorobot, which is important for multi-agent MC systems. In this paper, we introduce a system theoretic model for large-scale multi-agent MC systems using transfer functions, and then propose a method to analyze the stability for multi-agent MC systems. The proposed method decomposes the multi-agent MC system into multiple single-input and single-output (SISO) systems, which facilitates the application of simple analysis technique for SISO systems to the large-scale multi-agent MC system. Finally, we demonstrate the proposed method by analyzing the stability of a specific large-scale multi-agent MC system and clarify a parameter region to synchronize the states of nanorobots, which is important to make cooperative behaviors at a population level.
摘要：
分子通讯（MC）最近被用作连接单个生物纳米机器人的新型通讯工具。预计大量纳米机器人可以通过MC形成大型多主体MC系统，以完成单个纳米机器人无法实现的复杂和大规模任务。然而,大多数以前的MC系统模型都假设单向扩散通信通道，并且无法捕获每个纳米机器人之间的反馈，这对于多智能体MC系统很重要。在本文中,我们介绍了使用传递函数的大规模多智能体MC系统的系统理论模型，然后提出了一种分析多智能体MC系统稳定性的方法。所提出的方法将多智能体MC系统分解为多个单输入和单输出(SISO)系统，这有助于将SISO系统的简单分析技术应用于大规模多智能体MC系统。最后,我们通过分析特定大规模多主体MC系统的稳定性来证明所提出的方法，并阐明一个参数区域来同步纳米机器人的状态，这对于在人口水平上进行合作行为很重要。
