Time-Varying Formation Control of Multiagent Systems Across Two Networks With Mixed Interactions

This article investigates the time-varying formation control problem (TVFCP) of multiagent systems (MAS) across two networks, wherein agents from distinct networks amalgamate to form a fully connected network through mixed interactions. Notably, each network is internally disconnected, resulting in unknown member identities within each network, and unobservable relative positions among agents. A game-based formation control (GBFC) strategy is proposed, incorporating private costs to delineate formation tasks, and a novel information exchange mechanism to realize the reconstruction of disconnected network characteristics, ensuring rapid convergence of all agents to the desired formation within their respective networks. Importantly, this strategy does not rely on inter-agent position or formation vector information exchange. Experimental and simulation results validate the effectiveness of the proposed algorithm.

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Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2024-09-19
DOI
https://doi.org/10.1109/tie.2024.3447751
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Time-Varying Formation Control of Multiagent Systems Across Two Networks With Mixed Interactions

Xiaohong Nian, Zhiyong Li, Zhao Chen, Jinlong Huang
IEEE Transactions on Industrial Electronics
Distributed Control Multi-Agent Systems
article

Time-Varying Formation Control of Multiagent Systems Across Two Networks With Mixed Interactions

Xiaohong Nian, Zhiyong Li, Zhao Chen, Jinlong Huang
article en

Abstract

This article investigates the time-varying formation control problem (TVFCP) of multiagent systems (MAS) across two networks, wherein agents from distinct networks amalgamate to form a fully connected network through mixed interactions. Notably, each network is internally disconnected, resulting in unknown member identities within each network, and unobservable relative positions among agents. A game-based formation control (GBFC) strategy is proposed, incorporating private costs to delineate formation tasks, and a novel information exchange mechanism to realize the reconstruction of disconnected network characteristics, ensuring rapid convergence of all agents to the desired formation within their respective networks. Importantly, this strategy does not rely on inter-agent position or formation vector information exchange. Experimental and simulation results validate the effectiveness of the proposed algorithm.

IEEE Transactions on Industrial ElectronicsVol. 72(4)
Central South University (CN), Hunan University (CN)
Openalex Percentile: Top 83%
Distributed Control Multi-Agent Systems
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Time-Varying Formation Control of Multiagent Systems Across Two Networks With Mixed Interactions — Xiaohong Nian, Zhiyong Li, et al. · IEEE Transactions on Industrial Electronics (2024) | TGRS Research Map | TGRS