Extended State-Based Planning Approach for Deep Space Exploration

Hao Jin; Rui Xu; Wenming Xu; Shengying Zhu

doi:10.1109/TAES.2019.2920046

Extended State-Based Planning Approach for Deep Space Exploration

Hao Jin^*
, Rui Xu
, Wenming Xu
, Shengying Zhu

^*此作品的通讯作者

空天科学与技术学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

8 引用（Scopus）

摘要

This paper deals with a new modeling method and a powerful planning approach for deep space probes. The key technique is based on the concept of extended state model. Furthermore, extended state model planning (ESMP) algorithm is designed to be fully compliant with the model, and flaw selection strategies are proposed to avoid redundant work. Finally, we discuss the time complexity of ESMP, and computational results comparing ESMP with the algorithm in Europa are presented.

源语言	英语
期刊论文编号	8726160
页（从-至）	645-659
页数	15
期刊	IEEE Transactions on Aerospace and Electronic Systems
卷	56
期	1
DOI	https://doi.org/10.1109/TAES.2019.2920046
出版状态	已出版 - 1 2月 2020

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abstract = "This paper deals with a new modeling method and a powerful planning approach for deep space probes. The key technique is based on the concept of extended state model. Furthermore, extended state model planning (ESMP) algorithm is designed to be fully compliant with the model, and flaw selection strategies are proposed to avoid redundant work. Finally, we discuss the time complexity of ESMP, and computational results comparing ESMP with the algorithm in Europa are presented.",

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Extended State-Based Planning Approach for Deep Space Exploration

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