This paper combines the traditional output regulation (OR) theory with fuzzy identification method, and designs a distributed output regulator for the multi-agent system (MAS). In view of the situation that the follower model in the MAS cannot be obtained accurately, the fuzzy model is established to make it approximate to the considered nonlinear discrete follower agent system first. By employing fuzzy identification method and OR theory, a distributed controller is proposed, make follower agents track the reference signal given by the dynamic leader. Two numerical examples demonstrate the obtained results.

中文翻译：

---

结合模糊辨识法的离散多智能体系统分布式输出调节器分析

本文将传统的输出调节（OR）理论与模糊识别方法相结合，设计了一种多智能体系统（MAS）的分布式输出调节器。针对MAS中的追随者模型不能准确得到的情况，首先建立模糊模型使其近似于所考虑的非线性离散追随者代理系统。采用模糊识别方法和OR理论，提出了一种分布式控制器，使跟随者代理跟踪动态领导者给出的参考信号。两个数值例子证明了获得的结果。