CLC number: TP13
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-12-10
Cited: 0
Clicked: 1364
Citations: Bibtex RefMan EndNote GB/T7714
Yanping YANG, Siyu MA, Dawei LI, Jinghui SUO. Modified dynamic event-triggered scaled formation control formulti-agent systems via a sparrowsearch algorithm based co-design algorithm[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 197-213.
@article{title="Modified dynamic event-triggered scaled formation control formulti-agent systems via a sparrowsearch algorithm based co-design algorithm",
author="Yanping YANG, Siyu MA, Dawei LI, Jinghui SUO",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="25",
number="2",
pages="197-213",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300615"
}
%0 Journal Article
%T Modified dynamic event-triggered scaled formation control formulti-agent systems via a sparrowsearch algorithm based co-design algorithm
%A Yanping YANG
%A Siyu MA
%A Dawei LI
%A Jinghui SUO
%J Frontiers of Information Technology & Electronic Engineering
%V 25
%N 2
%P 197-213
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300615
TY - JOUR
T1 - Modified dynamic event-triggered scaled formation control formulti-agent systems via a sparrowsearch algorithm based co-design algorithm
A1 - Yanping YANG
A1 - Siyu MA
A1 - Dawei LI
A1 - Jinghui SUO
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 25
IS - 2
SP - 197
EP - 213
%@ 2095-9184
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300615
Abstract: This paper is concerned with the scaled formation control problem for multi-agent systems (MASs) over fixed and switching topologies. First, a modified resilient dynamic event-triggered (DET) mechanism involving an auxiliary dynamic variable (ADV) based on sampled data is proposed. In the proposed DET mechanism, a random variable obeying the Bernoulli distribution is introduced to express the idle and busy situations of communication networks. Meanwhile, the operation of absolute value is introduced into the triggering condition to effectively reduce the formation error. Second, a scaled formation control protocol with the proposed resilient DET mechanism is designed over fixed and switching topologies. The scaled formation error system is modeled as a time-varying delay system. Then, several sufficient stability criteria are derived by constructing appropriate Lyapunov–Krasovskii functionals (LKFs). A co-design algorithm based on the sparrow search algorithm (SSA) is presented to design the control gains and triggering parameters jointly. Finally, numerical simulations of multiple unmanned aerial vehicles (UAVs) are presented to validate the designed control method.
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