Multi-constraint Online Guidance Method Based on Meta-learning

Chao Li; Fenfen Xiong; Yue Zhao

doi:10.1007/978-981-19-6613-2_226

Multi-constraint Online Guidance Method Based on Meta-learning

Chao Li, Fenfen Xiong^*, Yue Zhao

^*此作品的通讯作者

宇航学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this study, an online guidance method based on the few-shot learning theory is proposed. First of all, a muti-constrained optimal control model is constructed for the guidance problem. Secondly, through using the meta-learning theory in the field of few-shot learning, a highly reliable and non-iterative online guidance method considering multiple constraints that can quickly adapt to a variety of guidance problems of the same category is developed. The effectiveness of the proposed method is verified by numerical simulations.

源语言	英语
主期刊名	Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
编辑	Liang Yan, Haibin Duan, Yimin Deng, Liang Yan
出版商	Springer Science and Business Media Deutschland GmbH
页	2320-2331
页数	12
ISBN（印刷版）	9789811966125
DOI	https://doi.org/10.1007/978-981-19-6613-2_226
出版状态	已出版 - 2023
活动	International Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, 中国期限: 5 8月 2022 → 7 8月 2022

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	845 LNEE
ISSN（印刷版）	1876-1100
ISSN（电子版）	1876-1119

会议

会议	International Conference on Guidance, Navigation and Control, ICGNC 2022
国家/地区	中国
市	Harbin
时期	5/08/22 → 7/08/22

访问文件

10.1007/978-981-19-6613-2_226

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, C., Xiong, F., & Zhao, Y. (2023). Multi-constraint Online Guidance Method Based on Meta-learning. 在 L. Yan, H. Duan, Y. Deng, & L. Yan (编辑), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control (页码 2320-2331). (Lecture Notes in Electrical Engineering; 卷 845 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6613-2_226

Li, Chao ; Xiong, Fenfen ; Zhao, Yue. / Multi-constraint Online Guidance Method Based on Meta-learning. Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. 编辑 / Liang Yan ; Haibin Duan ; Yimin Deng ; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. 页码 2320-2331 (Lecture Notes in Electrical Engineering).

@inproceedings{cf9d161acc984421830582ff56620f33,

title = "Multi-constraint Online Guidance Method Based on Meta-learning",

abstract = "In this study, an online guidance method based on the few-shot learning theory is proposed. First of all, a muti-constrained optimal control model is constructed for the guidance problem. Secondly, through using the meta-learning theory in the field of few-shot learning, a highly reliable and non-iterative online guidance method considering multiple constraints that can quickly adapt to a variety of guidance problems of the same category is developed. The effectiveness of the proposed method is verified by numerical simulations.",

keywords = "Deep learning, Few-shot learning, Meta-learning, Multi-constraint, Online guidance",

author = "Chao Li and Fenfen Xiong and Yue Zhao",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",

year = "2023",

doi = "10.1007/978-981-19-6613-2_226",

language = "English",

isbn = "9789811966125",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "2320--2331",

editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",

booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",

address = "Germany",

}

Li, C, Xiong, F & Zhao, Y 2023, Multi-constraint Online Guidance Method Based on Meta-learning. 在 L Yan, H Duan, Y Deng & L Yan (编辑), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Lecture Notes in Electrical Engineering, 卷 845 LNEE, Springer Science and Business Media Deutschland GmbH, 页码 2320-2331, International Conference on Guidance, Navigation and Control, ICGNC 2022, Harbin, 中国, 5/08/22. https://doi.org/10.1007/978-981-19-6613-2_226

Multi-constraint Online Guidance Method Based on Meta-learning. / Li, Chao; Xiong, Fenfen; Zhao, Yue.
Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. 编辑 / Liang Yan; Haibin Duan; Yimin Deng; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. 页码 2320-2331 (Lecture Notes in Electrical Engineering; 卷 845 LNEE).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

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AU - Li, Chao

AU - Xiong, Fenfen

AU - Zhao, Yue

PY - 2023

Y1 - 2023

N2 - In this study, an online guidance method based on the few-shot learning theory is proposed. First of all, a muti-constrained optimal control model is constructed for the guidance problem. Secondly, through using the meta-learning theory in the field of few-shot learning, a highly reliable and non-iterative online guidance method considering multiple constraints that can quickly adapt to a variety of guidance problems of the same category is developed. The effectiveness of the proposed method is verified by numerical simulations.

AB - In this study, an online guidance method based on the few-shot learning theory is proposed. First of all, a muti-constrained optimal control model is constructed for the guidance problem. Secondly, through using the meta-learning theory in the field of few-shot learning, a highly reliable and non-iterative online guidance method considering multiple constraints that can quickly adapt to a variety of guidance problems of the same category is developed. The effectiveness of the proposed method is verified by numerical simulations.

KW - Deep learning

KW - Few-shot learning

KW - Meta-learning

KW - Multi-constraint

KW - Online guidance

UR - http://www.scopus.com/inward/record.url?scp=85151150431&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-6613-2_226

DO - 10.1007/978-981-19-6613-2_226

M3 - Conference contribution

AN - SCOPUS:85151150431

SN - 9789811966125

T3 - Lecture Notes in Electrical Engineering

SP - 2320

EP - 2331

BT - Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control

A2 - Yan, Liang

A2 - Duan, Haibin

A2 - Deng, Yimin

A2 - Yan, Liang

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Guidance, Navigation and Control, ICGNC 2022

Y2 - 5 August 2022 through 7 August 2022

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Li C, Xiong F, Zhao Y. Multi-constraint Online Guidance Method Based on Meta-learning. 在 Yan L, Duan H, Deng Y, Yan L, 编辑, Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Springer Science and Business Media Deutschland GmbH. 2023. 页码 2320-2331. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-6613-2_226