| Issue |
Security and Safety
Volume 2, 2023
Security and Safety in Unmanned Systems
|
|
|---|---|---|
| Article Number | 2023024 | |
| Number of page(s) | 17 | |
| Section | Industrial Control | |
| DOI | https://doi.org/10.1051/sands/2023024 | |
| Published online | 11 September 2023 | |
Research Article
Dynamic event-triggered-based human-in-the-loop formation control for stochastic nonlinear MASs
1
School of Automation, Guangdong University of Technology, Guangzhou, 510006, China
2
Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, 510006, China
* Corresponding authors (email: linguohuai2019@163.com)
Received:
13
April
2023
Revised:
12
July
2023
Accepted:
17
August
2023
The dynamic event-triggered (DET) formation control problem of a class of stochastic nonlinear multi-agent systems (MASs) with full state constraints is investigated in this article. Supposing that the human operator sends commands to the leader as control input signals, all followers keep formation through network topology communication. Under the command-filter-based backstepping technique, the radial basis function neural networks (RBF NNs) and the barrier Lyapunov function (BLF) are utilized to resolve the problems of unknown nonlinear terms and full state constraints, respectively. Furthermore, a DET control mechanism is proposed to reduce the occupation of communication bandwidth. The presented distributed formation control strategy guarantees that all signals of the MASs are semi-globally uniformly ultimately bounded (SGUUB) in probability. Finally, the feasibility of the theoretical research result is demonstrated by a simulation example.
Key words: Dynamic event-triggered (DET) control / formation control / full state constraints / human-in-the-loop (HiTL) / multi agent systems (MASs)
Citation: Peng Y, Lin G and Chen G et al. Dynamic event-triggered-based human-in-the-loop formation control for stochastic nonlinear MASs. Security and Safety 2023; 2: 2023024. https://doi.org/10.1051/sands/2023024
© The Author(s) 2023. Published by EDP Sciences and China Science Publishing & Media Ltd.
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