Integral-Type Event-Triggered Average Consensus over Jointly Connected Topologies

In this paper, a class of distributed event-triggered (ET) control strategy is proposed to address the average consensus problem for multi-agent systems (MAS). Compared with the existing ET control methods with fixed connected communication links, underlying topology considered here is jointly connected, which is more adaptable to the needs of practicality. In order to save communication energy resources among agents, an improved integral-type event-triggered (ITET) strategy is chosen to guarantee that the entire system reaches an agreement on the desired state and no Zeno behavior occurs. Finally, two simulation examples are given to investigate the effectiveness of the proposed control strategy.

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Publication Details

Journal
Modelling—International Open Access Journal of Modelling in Engineering Science
Published
2026-06-29
DOI
https://doi.org/10.3390/modelling7040129
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Integral-Type Event-Triggered Average Consensus over Jointly Connected Topologies

Tuo Zhou
Modelling—International Open Access Journal of Modelling in Engineering Science
Distributed Control Multi-Agent Systems
article

Integral-Type Event-Triggered Average Consensus over Jointly Connected Topologies

Tuo Zhou
article en

Abstract

In this paper, a class of distributed event-triggered (ET) control strategy is proposed to address the average consensus problem for multi-agent systems (MAS). Compared with the existing ET control methods with fixed connected communication links, underlying topology considered here is jointly connected, which is more adaptable to the needs of practicality. In order to save communication energy resources among agents, an improved integral-type event-triggered (ITET) strategy is chosen to guarantee that the entire system reaches an agreement on the desired state and no Zeno behavior occurs. Finally, two simulation examples are given to investigate the effectiveness of the proposed control strategy.

Modelling—International Open Access Journal of Modelling in Engineering ScienceVol. 7(4)
Shandong Institute of Business and Technology (CN)
Natural Science Foundation of Shandong Province, Key Technology Research and Development Program of Shandong
Affordable and clean energy
Openalex Percentile: Top 6%
Distributed Control Multi-Agent Systems
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