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Systems Methodologies for Predicting...

Abdul-Hamid, Asaad Shahid,

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Systems Methodologies for Predicting, Mitigating, and Remediating Orbital Debris /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Systems Methodologies for Predicting, Mitigating, and Remediating Orbital Debris // Asaad Shahid Abdul-Hamid.
作者:	Abdul-Hamid, Asaad Shahid,
面頁冊數:	1 electronic resource (84 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Contained By:	Dissertations Abstracts International86-11B.
標題:	Systems science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32040617
ISBN:	9798315739265

Systems Methodologies for Predicting, Mitigating, and Remediating Orbital Debris /
Abdul-Hamid, Asaad Shahid,

Systems Methodologies for Predicting, Mitigating, and Remediating Orbital Debris /Asaad Shahid Abdul-Hamid. - 1 electronic resource (84 pages)

Source: Dissertations Abstracts International, Volume: 86-11, Section: B.

Orbital debris is a pressing problem which presents a danger to global space operations and a barrier to continued development of the space economy and space infrastructure. As research continues regarding orbital debris, there is a need for tools to understand the system-level implications of orbital debris solutions. This research considers the orbital debris problem as a dynamic process. Based on dynamic system theories, time-series variables of the numbers of orbital debris, orbital objects, and object launches should be causally linked, which means they share a common system attractor manifold. We propose a data-driven method based on complexity science to reconstruct a shadow attractor of the dynamic system using limited observable variables. The reconstructed shadow attractor helps us to understand the fundamental system dynamics for orbital debris and enables us to simulate the future of the orbital debris system based on changes to policy. These findings represent a significant advancement in our ability to understand high level impacts of space system policy with limited data available.As orbital debris continues to become a higher priority for the space industry, there is also a need to explore how partnerships between the public and private space sector may aid in addressing this issue. This research develops a space logistics framework for planning orbital debris remediation missions, providing a quantitative basis for partnerships that are mutually beneficial between space operators and debris remediators. By integrating network-based space logistics and game theory, we illuminate the high-level costs of remediating orbital debris, and the surplus that stands to be shared as a result. These findings indicate significant progress toward the continued development of a safe, sustainable, and profitable space economy.

English

ISBN: 9798315739265Subjects--Topical Terms:

3168411
Systems science.
Subjects--Index Terms:

Orbital debris

Systems Methodologies for Predicting, Mitigating, and Remediating Orbital Debris /
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520 $a Orbital debris is a pressing problem which presents a danger to global space operations and a barrier to continued development of the space economy and space infrastructure. As research continues regarding orbital debris, there is a need for tools to understand the system-level implications of orbital debris solutions. This research considers the orbital debris problem as a dynamic process. Based on dynamic system theories, time-series variables of the numbers of orbital debris, orbital objects, and object launches should be causally linked, which means they share a common system attractor manifold. We propose a data-driven method based on complexity science to reconstruct a shadow attractor of the dynamic system using limited observable variables. The reconstructed shadow attractor helps us to understand the fundamental system dynamics for orbital debris and enables us to simulate the future of the orbital debris system based on changes to policy. These findings represent a significant advancement in our ability to understand high level impacts of space system policy with limited data available.As orbital debris continues to become a higher priority for the space industry, there is also a need to explore how partnerships between the public and private space sector may aid in addressing this issue. This research develops a space logistics framework for planning orbital debris remediation missions, providing a quantitative basis for partnerships that are mutually beneficial between space operators and debris remediators. By integrating network-based space logistics and game theory, we illuminate the high-level costs of remediating orbital debris, and the surplus that stands to be shared as a result. These findings indicate significant progress toward the continued development of a safe, sustainable, and profitable space economy.
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653 $a Space logistics
653 $a Space sustainability
653 $a System dynamics
653 $a Systems engineering
690 $a 0790
690 $a 0640
690 $a 0606
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