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Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU. Bipartite asynchronous impulsive tracking consensus for multi-agent systems[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@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="-1",
number="-1",
pages="",
year="1998",
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 Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%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 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100122
Abstract: This paper discusses how multi-agent systems (MASs) with a leader achieve distributed bipartite tracking
consensus using asynchronous impulsive control strategies. Due to the problems arising from asynchronous impulsive with different effects and antagonistic links between neighboring nodes of MASs, distributed tracking consensus
analysis is more challenging than with only positive communication links and impulsive effects that occur simultaneously for all agents. 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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