Collective behavior of discrete time multi-agent systems with dynamical opinions

被引：2
作者：
Guo, Han [1 ,2 ]
Zhang, Xiufeng [1 ,2 ]
Yang, Chunxi [1 ,2 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, Kunming 650504, Yunnan, Peoples R China
[2] Yunnan Key Lab Intelligent Control & Applicat, Kunming 650504, Yunnan, Peoples R China
来源：
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2024年 / 138卷
关键词：
Multi-agent systems; Opinion evolution; Behavior dynamics; Collective behavior; GROUP CONSENSUS; NETWORKS;
D O I：
10.1016/j.cnsns.2024.108176
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, a novel framework for multi-agent systems is established to explore the swarm phenomenon of individuals with opinions in nature. Unlike the conventional researches in which agents in the system rigidly follow the predefined protocol, this paper combine opinions evolution with dynamic behaviors into multi-agent systems. To study the effect of opinions on behaviors, a protocol incorporating with opinions is introduced. The opinion of an agent is influenced by opinions of its neighbors and itself, while the behavior of the agent is influenced by both opinions and behaviors of agents. The existence and distributions of opinion equilibrium points are analyzed, and a necessary and sufficient condition of behavior stability is proposed. Moreover, the implementation of opinions leads to collective behavior, and the steady state of the system is analyzed. Finally, numerical simulations illustrate the effectiveness of the theoretical results.
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页数：11
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