Game-based enclosing control of multi-agent systems

The enclosing control of multi-agent systems is considered in this paper based on game modeling. First, the agents’ interactions within the multi-agent system are formulated as a multi-player game. The cost functions are designed for leaders and followers, respectively. At each time step, the state evolution of the agents is driven by the Nash equilibrium of the proposed game. Second, the unique Nash equilibrium is proved and calculated for the proposed multi-player game. Moreover, the relationship between the states of two neighboring game times is established for the multi-agent system. Then, using graph theory and matrix theory, conditions for the multi-agent system achieving enclosing control are provided. Finally, several examples of simulations are shown to verify the mathematical results.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2026-10-08
DOI
https://doi.org/10.1177/01423312261493650
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Game-based enclosing control of multi-agent systems

Yuanshi Zheng, Ting Liu, Chaobo Chen, Liqi Zhou et al.
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Game-based enclosing control of multi-agent systems

Yuanshi Zheng, Ting Liu, Chaobo Chen, Liqi Zhou, Shiming Chen
article en

Abstract

The enclosing control of multi-agent systems is considered in this paper based on game modeling. First, the agents’ interactions within the multi-agent system are formulated as a multi-player game. The cost functions are designed for leaders and followers, respectively. At each time step, the state evolution of the agents is driven by the Nash equilibrium of the proposed game. Second, the unique Nash equilibrium is proved and calculated for the proposed multi-player game. Moreover, the relationship between the states of two neighboring game times is established for the multi-agent system. Then, using graph theory and matrix theory, conditions for the multi-agent system achieving enclosing control are provided. Finally, several examples of simulations are shown to verify the mathematical results.

Transactions of the Institute of Measurement and Control
East China Jiaotong University (CN), Xidian University (CN), Xi'an Technological University (CN)
Openalex Percentile: Top 11%
Distributed Control Multi-Agent Systems
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Game-based enclosing control of multi-agent systems — Yuanshi Zheng, Ting Liu, et al. · Transactions of the Institute of Measurement and Control (2026) | TGRS Research Map | TGRS