MANEUVERING PENETRATION METHOD FOR MISSILE UNDER UNKNOWN INTERCEPTION STRATEGIES BASED ON TRANSFER DEEP REINFORCEMENT LEARNING

This paper is concerned with maneuvering penetration method for missile in unknown confrontation environment. Based on transfer learning method and reinforcement learning method, the penetration strategy, which includes two stages: off-line training and online confrontation training, is established. To begin with, the deep reinforcement learning method is used to realize off-line training of the missile under the typical interception strategies, in this process, the empirical interception strategies can be generated, it is referred as the off-line training process for missile. Then, together with the empirical knowledge transferred by the formula designed in this paper, the online confrontation training is carried out by reinforcement learning method when the missile is flying under unknown interception strategies, this process is online confrontation training for missile. Thus, after these two training process, the missile can select the suitable action to penetrate the interceptor successfully under unknown confrontation environment. Finally, numerical simulations are presented to verify the validity and efficiency of the method proposed.

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Publication Details

Journal
Fractals
Published
2025-05-08
DOI
https://doi.org/10.1142/s0218348x25401863
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
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article

MANEUVERING PENETRATION METHOD FOR MISSILE UNDER UNKNOWN INTERCEPTION STRATEGIES BASED ON TRANSFER DEEP REINFORCEMENT LEARNING

Juan L. G. Guirao, Yaokun Wang, Dengqing Cao, Huatao Chen et al.
Fractals
Guidance and Control Systems
article

MANEUVERING PENETRATION METHOD FOR MISSILE UNDER UNKNOWN INTERCEPTION STRATEGIES BASED ON TRANSFER DEEP REINFORCEMENT LEARNING

Juan L. G. Guirao, Yaokun Wang, Dengqing Cao, Huatao Chen, Kai Pan, Kun Zhao
article en

Abstract

This paper is concerned with maneuvering penetration method for missile in unknown confrontation environment. Based on transfer learning method and reinforcement learning method, the penetration strategy, which includes two stages: off-line training and online confrontation training, is established. To begin with, the deep reinforcement learning method is used to realize off-line training of the missile under the typical interception strategies, in this process, the empirical interception strategies can be generated, it is referred as the off-line training process for missile. Then, together with the empirical knowledge transferred by the formula designed in this paper, the online confrontation training is carried out by reinforcement learning method when the missile is flying under unknown interception strategies, this process is online confrontation training for missile. Thus, after these two training process, the missile can select the suitable action to penetrate the interceptor successfully under unknown confrontation environment. Finally, numerical simulations are presented to verify the validity and efficiency of the method proposed.

Fractals
Shandong University of Technology (CN), Harbin Institute of Technology (CN), Universidad Politécnica de Cartagena (ES), Beijing Jingshida Electromechanical Equipment Research Institute (CN)
Climate action
Openalex Percentile: Top 87%
Guidance and Control Systems
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