CLC number: TP18
On-line Access: 2022-10-24
Received: 2021-03-04
Revision Accepted: 2022-10-24
Crosschecked: 2021-04-18
Cited: 0
Clicked: 6350
Citations: Bibtex RefMan EndNote GB/T7714
https://orcid.org/0000-0002-7904-2187
https://orcid.org/0000-0001-8179-7426
Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU. Bipartite asynchronous impulsive tracking consensus for multi-agent systems[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(10): 1522-1532.
@article{title="Bipartite asynchronous impulsive tracking consensus for multi-agent systems",
author="Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="10",
pages="1522-1532",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100122"
}
%0 Journal Article
%T Bipartite asynchronous impulsive tracking consensus for multi-agent systems
%A Lingzhong ZHANG
%A Yuanyuan LI
%A Jungang LOU
%A Jianquan LU
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 10
%P 1522-1532
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100122
TY - JOUR
T1 - Bipartite asynchronous impulsive tracking consensus for multi-agent systems
A1 - Lingzhong ZHANG
A1 - Yuanyuan LI
A1 - Jungang LOU
A1 - Jianquan LU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 10
SP - 1522
EP - 1532
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100122
Abstract: In this study, we discuss how multi-agent systems (MASs) with a leader can achieve distributed bipartite tracking consensus using asynchronous impulsive control strategies. The proposed asynchronous impulsive control approach does not require the impulse to occur simultaneously for all agents. The communication links between neighboring nodes of MASs are antagonistic. When the leader’s control input is non-zero, sufficient conditions are obtained to achieve bipartite asynchronous impulsive tracking consensus in closed-loop MASs. More extensive ranges of asynchronous impulsive effects are discussed, and the designed controller’s feedback can effectively work against adverse impulsive permutation. Simple algebraic conditions for estimating the impulsive gain boundary and asynchronous impulsive interval are presented. Theoretical results are demonstrated with illustrative examples.
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