TY - JOUR
T1 - Cooperative fishing pursuit strategy for encirclement of a faster evader
T2 - theory and application
AU - Cao, Ziqi
AU - Liu, Zhenghua
AU - Ge, Fangming
AU - Yu, Jianglong
AU - Wang, Weihong
AU - Chen, Yiming
N1 - Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2026
Y1 - 2026
N2 - This paper presents a Cooperative Fishing Pursuit Strategy (CFPS) for addressing the challenge of encircling a faster evader using multiple pursuers in a two-dimensional open domain. Firstly, based on the barrier of the fishing game, we formulate a problem model for multi-pursuer cooperative encirclement of a fast evader, transforming it into two velocity design problems in mutually orthogonal directions: one that regulates the angles between adjacent pursuers (perpendicular to the line of sight), and another that controls the distance to the evader (along the line of sight). Secondly, an adaptive approach is employed to design each pursuer's velocity in the perpendicular direction, with a Lyapunov stability proof showing that the included angles converge exponentially to a prescribed interval under this strategy. Thirdly, we design the velocity in the line-of-sight direction and select a referenced distance to ensure that the pursuers continually approach the evader while meeting the encirclement requirements. Finally, numerical simulations and experiments validate the effectiveness of the CFPS across various scenarios, including those in which the evader adopts passive strategies, moves in a fixed direction, or actively avoids the pursuers. The results demonstrate that CFPS not only guarantees successful encirclement but also provides a theoretical foundation for designing and analyzing pursuit behaviours in multi-agent systems.
AB - This paper presents a Cooperative Fishing Pursuit Strategy (CFPS) for addressing the challenge of encircling a faster evader using multiple pursuers in a two-dimensional open domain. Firstly, based on the barrier of the fishing game, we formulate a problem model for multi-pursuer cooperative encirclement of a fast evader, transforming it into two velocity design problems in mutually orthogonal directions: one that regulates the angles between adjacent pursuers (perpendicular to the line of sight), and another that controls the distance to the evader (along the line of sight). Secondly, an adaptive approach is employed to design each pursuer's velocity in the perpendicular direction, with a Lyapunov stability proof showing that the included angles converge exponentially to a prescribed interval under this strategy. Thirdly, we design the velocity in the line-of-sight direction and select a referenced distance to ensure that the pursuers continually approach the evader while meeting the encirclement requirements. Finally, numerical simulations and experiments validate the effectiveness of the CFPS across various scenarios, including those in which the evader adopts passive strategies, moves in a fixed direction, or actively avoids the pursuers. The results demonstrate that CFPS not only guarantees successful encirclement but also provides a theoretical foundation for designing and analyzing pursuit behaviours in multi-agent systems.
KW - Pursuit–evasion game
KW - encirclement strategy
KW - faster evader
KW - fishing game
UR - https://www.scopus.com/pages/publications/105026364854
U2 - 10.1080/00207721.2025.2606900
DO - 10.1080/00207721.2025.2606900
M3 - 文献综述
AN - SCOPUS:105026364854
SN - 0020-7721
JO - International Journal of Systems Science
JF - International Journal of Systems Science
ER -