System Level Analysis and Management of Orbital Debris Using Empirical Dynamic Modeling

Fuente: arXiv
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Main Authors: Abdul-Hamid, Asaad S., Chen, Hao
Format: Preprint
Published: 2026
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author Abdul-Hamid, Asaad S.
Chen, Hao
author_facet Abdul-Hamid, Asaad S.
Chen, Hao
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2605_21892
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle System Level Analysis and Management of Orbital Debris Using Empirical Dynamic Modeling
Abdul-Hamid, Asaad S.
Chen, Hao
Systems and Control
Dynamical Systems
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.
title System Level Analysis and Management of Orbital Debris Using Empirical Dynamic Modeling
topic Systems and Control
Dynamical Systems
url https://arxiv.org/abs/2605.21892