Long-Term Trajectory Prediction of Hypersonic Glide Vehicle Based on Physics-Informed Transformer-Reference-Cited by-同舟云学术

Long-Term Trajectory Prediction of Hypersonic Glide Vehicle Based on Physics-Informed Transformer

Author:

Ren Jihuan¹^ORCID,Wu Xiang¹^ORCID,Liu Yi¹^ORCID,Ni Feng²^ORCID,Bo Yuming¹^ORCID,Jiang Changhui³^ORCID

Affiliation:

1. School of Automation, Nanjing University of Science and Technology, Nanjing, China

2. Beijing Microelectronics Technology Institute, Beijing, China

3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

Reference41 articles.

1. Intention prediction of a hypersonic glide vehicle using a satellite constellation based on deep learning;Cheng,2022

4. Anti-interception guidance for hypersonic glide vehicle: A deep reinforcement learning approach;Jiang,2022

5. Maneuver mode analysis and parametric modeling for hypersonic glide vehicles;Hu,2021

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