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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

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Citations:  Bibtex RefMan EndNote GB/T7714


Xiang Hu


Chuandong Li


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


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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author="Xiang Hu, Zufan Zhang, Chuandong Li",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Consensus of multi-agent systems with dynamic join characteristics under impulsive control
%A Xiang Hu
%A Zufan Zhang
%A Chuandong Li
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 1
%P 120-133
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000062

T1 - Consensus of multi-agent systems with dynamic join characteristics under impulsive control
A1 - Xiang Hu
A1 - Zufan Zhang
A1 - Chuandong Li
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 1
SP - 120
EP - 133
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000062

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





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


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