Information Flow in Networked System with Leaderless Structure
Zhongnan Liu, Yongxu Sun, Sanghyuk Lee · 2022 27th International Conference on Automation and Computing (ICAC) · 2022
Agent’s behavior analysis in the networked system has been carried out by showing the group action. Actions inside of group show the similar pattern, but the agents in the middle of different groups face with challenge to decide which group in. In the research, we collected and organized different approaches on deciding the agents to be included in a specific cluster. The target for specifying the characteristics of different agents, that is, their preferences for different leadership groups, they also introduced the concept of many weights. According to the feature functions, we can simulate the situation of a leaderless system that received inputs signal to achieve group consensus in the two-dimensional plane. We verified through simulations that the algorithm performs well in the situation with different methods.