Optimal Control Strategies in Multi-Pursuit-Multi-Evasion Differential Games with Communication Graphs

Traditional pursuit-evasion (PE) games predominantly rely on infinite-time formulations, which ignore real-world demands and practical communication constraints. In this paper, a finite-time pursuit-evasion conflict in multi-pursuer-multievader (MPME) nonzero-sum game framework with a communication-weighted matrix Q is proposed, reflecting the practical communication topology. In such circumstances, a novel sufficient condition for uniform exponential stability is proved for all-against-all games and the optimal control strategies for all players are derived by solving the coupled Hamilton-Jacobi-Isaacs (HJI) equations associated with the MPME game, thereby enabling the attainment of Nash equilibrium under finite-time state regulation. Finally, numerical experiments involving three pursuers and two evaders are carried out, which validates the effectiveness of the proposed method.

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Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138158
Primary Topic
Guidance and Control Systems
Type
article
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article

Optimal Control Strategies in Multi-Pursuit-Multi-Evasion Differential Games with Communication Graphs

Yinya Li, Guoqing Qi, Lin Chen, Andong Sheng
Guidance and Control Systems
article

Optimal Control Strategies in Multi-Pursuit-Multi-Evasion Differential Games with Communication Graphs

Yinya Li, Guoqing Qi, Lin Chen, Andong Sheng
article en

Abstract

Traditional pursuit-evasion (PE) games predominantly rely on infinite-time formulations, which ignore real-world demands and practical communication constraints. In this paper, a finite-time pursuit-evasion conflict in multi-pursuer-multievader (MPME) nonzero-sum game framework with a communication-weighted matrix Q is proposed, reflecting the practical communication topology. In such circumstances, a novel sufficient condition for uniform exponential stability is proved for all-against-all games and the optimal control strategies for all players are derived by solving the coupled Hamilton-Jacobi-Isaacs (HJI) equations associated with the MPME game, thereby enabling the attainment of Nash equilibrium under finite-time state regulation. Finally, numerical experiments involving three pursuers and two evaders are carried out, which validates the effectiveness of the proposed method.

Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 67%
Guidance and Control Systems
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Optimal Control Strategies in Multi-Pursuit-Multi-Evasion Differential Games with Communication Graphs — Yinya Li, Guoqing Qi, et al. · (2025) | TGRS Research Map | TGRS