CLC number: TP13
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2020-09-11
Cited: 0
Clicked: 5203
Citations: Bibtex RefMan EndNote GB/T7714
Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang. Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 107-119.
@article{title="Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes",
author="Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="1",
pages="107-119",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000034"
}
%0 Journal Article
%T Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes
%A Ya-ni Sun
%A Wen-cheng Zou
%A Jian Guo
%A Zheng-rong Xiang
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 1
%P 107-119
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000034
TY - JOUR
T1 - Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes
A1 - Ya-ni Sun
A1 - Wen-cheng Zou
A1 - Jian Guo
A1 - Zheng-rong Xiang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 1
SP - 107
EP - 119
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000034
Abstract: We study the containment control problem for high-order heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes. To achieve the containment control objective and reduce communication consumption among agents, a distributed event-triggered control scheme is proposed by applying the backstepping method, Lyapunov functional approach, and neural networks. Then, the results are extended to the self-triggered control case to avoid continuous monitoring of state errors. The developed protocols and triggered rules ensure that the output for each follower converges to the convex hull spanned by multi-leader signals within a bounded error. In addition, no agent exhibits zeno behavior. Two numerical simulations are finally presented to verify the correctness of the obtained results.
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