Full Text:   <1100>

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CLC number: TP273

On-line Access: 2021-01-11

Received: 2020-02-06

Revision Accepted: 2020-04-23

Crosschecked: 2020-09-28

Cited: 0

Clicked: 2779

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xiang Hu

https://orcid.org/0000-0002-1625-3825

Chuandong Li

https://orcid.org/0000-0001-6155-4849

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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.1 P.120-133

http://doi.org/10.1631/FITEE.2000062


Consensus of multi-agent systems with dynamic join characteristics under impulsive control


Author(s):  Xiang Hu, Zufan Zhang, Chuandong Li

Affiliation(s):  School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; more

Corresponding email(s):   huyangyu0203@163.com, zhangzf@cqupt.edu.cn, cdli@swu.edu.cn

Key Words:  Multi-agent system, Network topology, Impulsive input, Dynamic join characteristics, State consensus


Xiang Hu, Zufan Zhang, Chuandong Li. Consensus of multi-agent systems with dynamic join characteristics under impulsive control[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 120-133.

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Abstract: 
We study how to achieve the state consensus of a whole multi-agent system after adding some new agent groups dynamically in the original multi-agent system. We analyze the feasibility of dynamically adding agent groups under different forms of network topologies that are currently common, and obtain four feasible schemes in theory, including one scheme that is the best in actual industrial production. Then, we carry out dynamic modeling of multi-agent systems for the best scheme. Impulsive control theory and Lyapunov stability theory are used to analyze the conditions so that the whole multi-agent system with dynamic join characteristics can achieve state consensus. Finally, we provide a numerical example to verify the practicality and validity of the theory

脉冲控制下具有动态加入特性的多智能体系统一致性


胡翔1,张祖凡1,李传东2
1重庆邮电大学通信与信息工程学院,中国重庆市,400065
2西南大学电子与信息工程学院,重庆市非线性电路与智能信息处理重点实验室,中国重庆市,400715

摘要:研究在原有多智能体系统中动态加入一些新智能体组后如何实现整个多智能体系统的状态一致性。分析在当前常见的不同网络拓扑形式下动态加入智能体组的可行性,并从理论上获得4种可行方案,其中一种方案在实际工业生产中是最佳的。然后,针对最佳方案进行多智能体系统的动力学建模。采用脉冲控制理论和李雅普诺夫稳定性理论,分析具有动态加入特性的多智能体系统实现状态一致的条件。最后,提供一个数值例子验证本文理论的实用性和有效性。

关键词:多智能体系统;网络拓扑;脉冲输入;动态加入特性;状态一致性

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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