Containment Control of Fractional-Order Time-Delay Multi-Agent Systems Employing a Fully Distributed Pull-Based Event-Triggered Approach

The current study explores the fully distributed containment control problem of fractional-order time-delay multi-agent systems by introducing a novel pull-based dynamic event-triggered approach. Firstly, to reduce communication overhead and mitigate time delays in controller updates, a pull-based dynamic event-triggered strategy is proposed. Secondly, in virtue of a Lyapunov candidate function, the proposed pull-based dynamic event-triggered control protocol exhibits inherent distributed properties enabling agents to operate independently and cooperatively without global information. Thirdly, we design adaptive parameters to ensure containment control convergence and provide a rigorous proof to preclude Zeno behavior. Eventually, numerical simulations are performed to verify the validity of the theoretical analysis.

Authors

Institutions

Publication Details

Journal
Fractal and Fractional
Published
2025-10-13
DOI
https://doi.org/10.3390/fractalfract9100658
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Containment Control of Fractional-Order Time-Delay Multi-Agent Systems Employing a Fully Distributed Pull-Based Event-Triggered Approach

Xiaohe Li, Xue Xia, Guoguang Wen, Jing Bai et al.
1 citations
Fractal and Fractional
Distributed Control Multi-Agent Systems
1.49
article

Containment Control of Fractional-Order Time-Delay Multi-Agent Systems Employing a Fully Distributed Pull-Based Event-Triggered Approach

Xiaohe Li, Xue Xia, Guoguang Wen, Jing Bai, You Cai
article en
1 citations

Abstract

The current study explores the fully distributed containment control problem of fractional-order time-delay multi-agent systems by introducing a novel pull-based dynamic event-triggered approach. Firstly, to reduce communication overhead and mitigate time delays in controller updates, a pull-based dynamic event-triggered strategy is proposed. Secondly, in virtue of a Lyapunov candidate function, the proposed pull-based dynamic event-triggered control protocol exhibits inherent distributed properties enabling agents to operate independently and cooperatively without global information. Thirdly, we design adaptive parameters to ensure containment control convergence and provide a rigorous proof to preclude Zeno behavior. Eventually, numerical simulations are performed to verify the validity of the theoretical analysis.

Fractal and FractionalVol. 9(10)
Beijing Jiaotong University (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 12%
Distributed Control Multi-Agent Systems
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.