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<p>This paper presents a strategy solution method for dynamic heterogeneous multi-agent systems (MAS) that achieves rapid strategy solving for various pursuit requirements including directly capture, distance maintenance, and angle constraint capture. To overcome the high-dimensional nonlinearity issues in the coordinated pursuit caused by dynamically heterogeneous MAS, this paper proposes a reconstruction method for the dynamics under motion camouflage, achieving the homogenization and linearity of heterogeneous MAS dynamics, which significantly reduces the complexity compared to the dynamic model of the original agent. Through the mapping relationship between the parameterized dynamics and the original MAS dynamics, the state and control of the original dynamics are derived. Finally, strategies are developed for three distinct pursuit requirements based on the parameterized dynamics of the pursuit agents. Three simulation examples are provided to verify the effectiveness of the proposed method.</p>

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An Unified Approach for Dynamics Heterogeneous Multi-Agent Pursuit Problem

  • 期刊论文

  • 发表日期：

    2025年9月11日

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  • Qiancheng Zhao,
  • Jianqing Li,
  • Chaoyong Li,
  • Zhaohui Song

摘要

This paper presents a strategy solution method for dynamic heterogeneous multi-agent systems (MAS) that achieves rapid strategy solving for various pursuit requirements including directly capture, distance maintenance, and angle constraint capture. To overcome the high-dimensional nonlinearity issues in the coordinated pursuit caused by dynamically heterogeneous MAS, this paper proposes a reconstruction method for the dynamics under motion camouflage, achieving the homogenization and linearity of heterogeneous MAS dynamics, which significantly reduces the complexity compared to the dynamic model of the original agent. Through the mapping relationship between the parameterized dynamics and the original MAS dynamics, the state and control of the original dynamics are derived. Finally, strategies are developed for three distinct pursuit requirements based on the parameterized dynamics of the pursuit agents. Three simulation examples are provided to verify the effectiveness of the proposed method.