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; 张祖凡; 李传东

doi:10.1631/FITEE.2000062

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脉冲控制下具有动态加入特性的多智能体系统一致性

复杂网络和系统的分布式滤波与控制专辑 | Updated：2022-05-19

- 脉冲控制下具有动态加入特性的多智能体系统一致性
- Consensus of multi-agent systems with dynamic join characteristics under impulsive control
- 信息与电子工程前沿（英文） 2021年22卷第1期页码：120-133
- Affiliations：
  
  Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
  School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
- Author bio：
  
  [ "HU Xiang, E-mail: huyangyu0203@163.com" ]
  [ "ZHANG Zufan, E-mail: zhangzf@cqupt.edu.cn" ]
  LI Chuandong, E-mail: cdli@swu.edu.cn
- Funds：
  
  Project supported by the National Natural Science Foundation of China (No. 61873213), the Chongqing Graduate Research and Innovation Project in 2019, China (No. CYB19175), and the Major Project of Science and Technology Research Program of Chongqing Education Commission of China (No. KJZDM201900601)
- DOI：10.1631/FITEE.2000062
  中图分类号： TP273
- 收稿：2020-02-06，
  
  修回：2020-;9-28，
  
  纸质出版：2021-01
- Accepted：
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胡翔, 张祖凡, 李传东. 脉冲控制下具有动态加入特性的多智能体系统一致性[J]. 信息与电子工程前沿（英文）, 2021,22(1):120-133.

Xiang HU, Zufan ZHANG, LI Chuandong. Consensus of multi-agent systems with dynamic join characteristics under impulsive control[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 120-133.
胡翔, 张祖凡, 李传东. 脉冲控制下具有动态加入特性的多智能体系统一致性[J]. 信息与电子工程前沿（英文）, 2021,22(1):120-133. DOI： 10.1631/FITEE.2000062.

Xiang HU, Zufan ZHANG, LI Chuandong. Consensus of multi-agent systems with dynamic join characteristics under impulsive control[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 120-133. DOI： 10.1631/FITEE.2000062.

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。

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.

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Keywords

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