Distributed Periodic Event-Triggered Consensus of Second-Order Nonlinear Multiagent Systems With Switching Topologies

In this letter, a distributed periodic event-triggered (PET) consensus protocol is proposed for nonlinear multiagent systems under directed communication topology switchings. Only at the sampling instants, the information exchanges and the modes of topologies are used. Then, a distributed PET controller with a discrete event-triggering mechanism is proposed to reduce the burden of communication. By deriving a novel average dwell time constraint and constructing multiple Lyapunov functions, the leader–following consensus objective can be achieved. Finally, the proposed method's effectiveness is demonstrated by simulation results.

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Publication Details

Journal
IEEE Systems Journal
Published
2024-08-26
DOI
https://doi.org/10.1109/jsyst.2024.3443332
Citations
4
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.40

Funders

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article

Distributed Periodic Event-Triggered Consensus of Second-Order Nonlinear Multiagent Systems With Switching Topologies

Guobao Liu, Shi Li, Yong‐Sheng Chen, Yujing Yan
4 citations
IEEE Systems Journal
Distributed Control Multi-Agent Systems
1.40
article

Distributed Periodic Event-Triggered Consensus of Second-Order Nonlinear Multiagent Systems With Switching Topologies

Guobao Liu, Shi Li, Yong‐Sheng Chen, Yujing Yan
article en
4 citations

Abstract

In this letter, a distributed periodic event-triggered (PET) consensus protocol is proposed for nonlinear multiagent systems under directed communication topology switchings. Only at the sampling instants, the information exchanges and the modes of topologies are used. Then, a distributed PET controller with a discrete event-triggering mechanism is proposed to reduce the burden of communication. By deriving a novel average dwell time constraint and constructing multiple Lyapunov functions, the leader–following consensus objective can be achieved. Finally, the proposed method's effectiveness is demonstrated by simulation results.

IEEE Systems JournalVol. 18(3)
Nanjing Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Distributed Control Multi-Agent Systems
1.40
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