Molecular communication (MC) is recently featured as a novel communication tool to connect individual biological nanorobots in vivo. 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 the 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 to analyze the stability of 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.

翻译：分子通信（MC）近年来作为一种新型通信工具，被用于连接体内单个生物纳米机器人。预期大量纳米机器人可通过MC形成大规模多智能体MC系统，以完成单个纳米机器人无法实现的复杂大规模任务。然而，现有大多数MC系统模型假设单向扩散通信信道，无法捕捉各纳米机器人之间的反馈——这一特性对多智能体MC系统至关重要。本文引入基于传递函数的大规模多智能体MC系统理论模型，进而提出分析多智能体MC系统稳定性的方法。该方法将多智能体MC系统分解为多个单输入单输出（SISO）子系统，便于分析大规模多智能体MC系统的稳定性。最后，通过分析特定大规模多智能体MC系统的稳定性，验证了所提方法的有效性。