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

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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.

Original language	English
Article number	8726160
Pages (from-to)	645-659
Number of pages	15
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	56
Issue number	1
DOIs	https://doi.org/10.1109/TAES.2019.2920046
Publication status	Published - 1 Feb 2020

Keywords

Deep space probe
knowledge model
mission planning
search algorithm

Access to Document

10.1109/TAES.2019.2920046

Cite this

@article{23f0c21875204f518b91b764c9a6efba,

title = "Extended State-Based Planning Approach for Deep Space Exploration",

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.",

keywords = "Deep space probe, knowledge model, mission planning, search algorithm",

author = "Hao Jin and Rui Xu and Wenming Xu and Shengying Zhu",

note = "Publisher Copyright: {\textcopyright} 1965-2011 IEEE.",

year = "2020",

month = feb,

day = "1",

doi = "10.1109/TAES.2019.2920046",

language = "English",

volume = "56",

pages = "645--659",

journal = "IEEE Transactions on Aerospace and Electronic Systems",

issn = "0018-9251",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

TY - JOUR

T1 - Extended State-Based Planning Approach for Deep Space Exploration

AU - Jin, Hao

AU - Xu, Rui

AU - Xu, Wenming

AU - Zhu, Shengying

PY - 2020/2/1

Y1 - 2020/2/1

N2 - 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.

AB - 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.

KW - Deep space probe

KW - knowledge model

KW - mission planning

KW - search algorithm

UR - http://www.scopus.com/inward/record.url?scp=85066986303&partnerID=8YFLogxK

U2 - 10.1109/TAES.2019.2920046

DO - 10.1109/TAES.2019.2920046

M3 - Article

AN - SCOPUS:85066986303

SN - 0018-9251

VL - 56

SP - 645

EP - 659

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 1

M1 - 8726160

ER -

Extended State-Based Planning Approach for Deep Space Exploration

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this