Bipartite consensus of second‐order delayed unknown multi‐agent systems via aperiodically intermittent control

Abstract This paper considers the bipartite consensus (BC) of second‐order delayed multi‐agent systems under signed graphs via aperiodically intermittent control (AIC). Firstly, to break the bottleneck of limited state information from the leader, a novel distributed observer is introduced based on the output information. Secondly, a new aperiodically intermittent controller is designed to achieve the consensus goal and reduce the control cost. By employing inequality techniques and Lyapunov stability theory, some sufficient conditions for ensuring BC of second‐order multi‐agent systems is ultimately obtained. Finally, the effectiveness of the theoretical analysis is demonstrated through a numerical example.

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Publication Details

Journal
Asian Journal of Control
Published
2025-02-23
DOI
https://doi.org/10.1002/asjc.3605
Citations
3
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
4.46
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article

Bipartite consensus of second‐order delayed unknown multi‐agent systems via aperiodically intermittent control

Jinde Cao, Yuanfa Hu, Xiaoyang Liu, Ji Jun Xiao
3 citations
Asian Journal of Control
Distributed Control Multi-Agent Systems
4.46
article

Bipartite consensus of second‐order delayed unknown multi‐agent systems via aperiodically intermittent control

Jinde Cao, Yuanfa Hu, Xiaoyang Liu, Ji Jun Xiao
article en
3 citations

Abstract

Abstract This paper considers the bipartite consensus (BC) of second‐order delayed multi‐agent systems under signed graphs via aperiodically intermittent control (AIC). Firstly, to break the bottleneck of limited state information from the leader, a novel distributed observer is introduced based on the output information. Secondly, a new aperiodically intermittent controller is designed to achieve the consensus goal and reduce the control cost. By employing inequality techniques and Lyapunov stability theory, some sufficient conditions for ensuring BC of second‐order multi‐agent systems is ultimately obtained. Finally, the effectiveness of the theoretical analysis is demonstrated through a numerical example.

Asian Journal of ControlVol. 27(5)
Jiangsu Normal University (CN), Southeast University (CN)
Openalex Percentile: Top 6%
Distributed Control Multi-Agent Systems
4.46
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Bipartite consensus of second‐order delayed unknown multi‐agent systems via aperiodically intermittent control — Jinde Cao, Yuanfa Hu, et al. · Asian Journal of Control (2025) | TGRS Research Map | TGRS