Distributed Adaptive Event-Triggered TVGF for Generic Linear Multi-Agent Systems under Directed Graph

Yatao Ren; Chengxin Xian; Yongfang Liu; Yu Zhao

doi:10.1109/TCSII.2023.3235755

Distributed Adaptive Event-Triggered TVGF for Generic Linear Multi-Agent Systems under Directed Graph

Yatao Ren, Chengxin Xian, Yongfang Liu, Yu Zhao

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

This brief investigates event-triggered time-varying grouping formation (TVGF) problem for generic linear homogeneous multi-agent systems under directed graphs. A distributed adaptive event-triggered TVGF algorithm is proposed to ensure that the goal of TVGF can be achieved and the communication frequency between agents is reduced. Compared with previous formation control methods, the algorithm presented in this brief can complete the group formation task while saving communication energy. In addition, the algorithm's dependence on global network information is also eliminated by using adaptive techniques. Finally, the availability of the proposed control law is established by numerical simulation.

Original language	English
Pages (from-to)	2425-2429
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	70
Issue number	7
DOIs	https://doi.org/10.1109/TCSII.2023.3235755
State	Published - 1 Jul 2023

Keywords

adaptive control
directed graph
event-triggered
Grouping formation

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title = "Distributed Adaptive Event-Triggered TVGF for Generic Linear Multi-Agent Systems under Directed Graph",

abstract = "This brief investigates event-triggered time-varying grouping formation (TVGF) problem for generic linear homogeneous multi-agent systems under directed graphs. A distributed adaptive event-triggered TVGF algorithm is proposed to ensure that the goal of TVGF can be achieved and the communication frequency between agents is reduced. Compared with previous formation control methods, the algorithm presented in this brief can complete the group formation task while saving communication energy. In addition, the algorithm's dependence on global network information is also eliminated by using adaptive techniques. Finally, the availability of the proposed control law is established by numerical simulation.",

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AU - Ren, Yatao

AU - Xian, Chengxin

AU - Liu, Yongfang

AU - Zhao, Yu

PY - 2023/7/1

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N2 - This brief investigates event-triggered time-varying grouping formation (TVGF) problem for generic linear homogeneous multi-agent systems under directed graphs. A distributed adaptive event-triggered TVGF algorithm is proposed to ensure that the goal of TVGF can be achieved and the communication frequency between agents is reduced. Compared with previous formation control methods, the algorithm presented in this brief can complete the group formation task while saving communication energy. In addition, the algorithm's dependence on global network information is also eliminated by using adaptive techniques. Finally, the availability of the proposed control law is established by numerical simulation.

AB - This brief investigates event-triggered time-varying grouping formation (TVGF) problem for generic linear homogeneous multi-agent systems under directed graphs. A distributed adaptive event-triggered TVGF algorithm is proposed to ensure that the goal of TVGF can be achieved and the communication frequency between agents is reduced. Compared with previous formation control methods, the algorithm presented in this brief can complete the group formation task while saving communication energy. In addition, the algorithm's dependence on global network information is also eliminated by using adaptive techniques. Finally, the availability of the proposed control law is established by numerical simulation.

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Distributed Adaptive Event-Triggered TVGF for Generic Linear Multi-Agent Systems under Directed Graph

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Keywords

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