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Journal of Projectiles, Rockets, Missiles and Guidance >

2026 , Vol. 46 >Issue 4: 364 - 374

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2026.04.003

Academic article

An Intelligent Cooperative Differential Game Guidance Method Based on ADP Algorithm under Input Constraints

  • LIU Zhijun 1 ,
  • YU Jianglong 1 ,
  • FENG Zhi , 1, * ,
  • DONG Xiwang 2
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  • 1 School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
  • 2 Institute of Unmanned Systems, Beihang University, Beijing 100191, China

Received date: 2026-01-26

  Online published: 2026-08-20

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Abstract

A class of intelligent cooperative differential game guidance problems is investigated for multiple vehicles and manuvering targets.In particular,a leader-follower high-order nonlinear guidance model is established based on the master-slave cooperative guidance structure,and an intelligent cooperative optimal guidance strategy is developed via differential games.An evaluation neural network is established based on the adaptive dynamic programming (ADP) algorithm for self-learning and solving the guidance method online.The stability of the closed-loop system as well as the convergence of evaluation network weights are proved by applying the Lyapunov stability theory and the invariant set principle.Finally,the effectiveness of the method is verified through simulation,where the maximum miss distance and time error of multiple vehicles are less than 0.1m and 0.5s,respectively,demonstrating the accurate cooperative attack on the maneuvering targets.

Key words： intelligent cooperative guidance; differential game input constraint; adaptive dynamic programming; precision guidance

Cite this article

LIU Zhijun , YU Jianglong , FENG Zhi , DONG Xiwang . An Intelligent Cooperative Differential Game Guidance Method Based on ADP Algorithm under Input Constraints[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2026 , 46(4) : 364 -374 . DOI: 10.15892/j.cnki.djzdxb.2026.04.003

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