Multi-Player Pursuit-Evasion Game With Interaction Constraints: A Cooperative Game Theoretic Approach Based on Coalition Structure

This paper presents a comprehensive mathematical approach to address the multi-player and multi-objective pursuit-evasion games problem, incorporating coalition structure constraints from a cooperation-competition perspective. Social interaction networks are developed to approximate priority communication alliances based on individual preferences, establishing a multi-connected topology and decision space for the games. An N-player variable-sum differential game model, featuring autonomous obstacle avoidance, is formulated by integrating kinematic constraints and the social forces method. Rigorous proofs are provided for the uniqueness of payoff distribution, the stability of alliance structures, and the convergence of many-to-many differential games to Nash Equilibrium. Simulation and experimental results are presented to validate the effectiveness and performance of the proposed method.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3581695
Citations
3
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
14.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Player Pursuit-Evasion Game With Interaction Constraints: A Cooperative Game Theoretic Approach Based on Coalition Structure

Wei Xie, Xiwen Ma, Jingsong Yang, Kairong Duan et al.
3 citations
IEEE Transactions on Automation Science and Engineering
Guidance and Control Systems
14.98
article

Multi-Player Pursuit-Evasion Game With Interaction Constraints: A Cooperative Game Theoretic Approach Based on Coalition Structure

Wei Xie, Xiwen Ma, Jingsong Yang, Kairong Duan, Weidong Zhang, Maolong Lv
article en
3 citations

Abstract

This paper presents a comprehensive mathematical approach to address the multi-player and multi-objective pursuit-evasion games problem, incorporating coalition structure constraints from a cooperation-competition perspective. Social interaction networks are developed to approximate priority communication alliances based on individual preferences, establishing a multi-connected topology and decision space for the games. An N-player variable-sum differential game model, featuring autonomous obstacle avoidance, is formulated by integrating kinematic constraints and the social forces method. Rigorous proofs are provided for the uniqueness of payoff distribution, the stability of alliance structures, and the convergence of many-to-many differential games to Nash Equilibrium. Simulation and experimental results are presented to validate the effectiveness and performance of the proposed method.

IEEE Transactions on Automation Science and EngineeringVol. 22
Shanghai Jiao Tong University (CN), Air Force Engineering University (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Openalex Percentile: Top 2%
Guidance and Control Systems
14.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi-Player Pursuit-Evasion Game With Interaction Constraints: A Cooperative Game Theoretic Approach Based on Coalition Structure — Wei Xie, Xiwen Ma, et al. · IEEE Transactions on Automation Science and Engineering (2025) | TGRS Research Map | TGRS