Distributed Capturing Strategy in Heterogeneous Multiagent Pursuit–Evasion Games

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Authors: Ran Shi, Hai-Tao Zhang, Jun Wang
Cited by: 1
References: 37

Abstract

This article addresses a collective heterogeneous multiagent pursuit-evasion (MPE) game problem where pursuers cooperatively capture escaping evaders. The analytical challenge of the present design lies in solving the associated coupled Hamilton-Jacobi-Isaacs (HJI) equations induced by the additional interacting roles in the MPE game while ensuring the achievement of the Nash equilibrium. To tackle this issue, a gaming framework is accordingly proposed to solve the coupled HJI equations. Sufficient conditions are derived to guarantee both the capturability and Nash equilibrium of the proposed collective MPE gaming scheme. Finally, numerical simulations are conducted to verify the effectiveness of the present MPE gaming strategy.

Fields of Study & Subjects

Guidance and Control Systems Extremum Seeking Control Systems Military Defense Systems Analysis

Publication details

Journal / source
IEEE Transactions on Cybernetics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
56
Issue
6
Pages
3263–3272
Publication date
14 January 2026
Language
EN