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20182026
most citedA low-order automatic domain splitting approach for nonlinear uncertainty mapping

22 citations · 95 across the 17 of their papers we have counts for

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5 papers · 1 filter

math.NA2023★ 22 cited

A low-order automatic domain splitting approach for nonlinear uncertainty mapping

Matteo Losacco, Alberto Fossà, Roberto Armellin

This paper introduces a novel method for the automatic detection and handling of nonlinearities in a generic transformation. A nonlinearity index that exploits second order Taylor…

math.NA2023★ 8 cited

A Multifidelity Approach to Robust Orbit Determination

Alberto Fossà, Roberto Armellin, Emmanuel Delande +2

This paper presents an algorithm for the preprocessing of observation data aimed at improving the robustness of orbit determination tools. Two objectives are fulfilled: obtain a re…

math.NA2022

Detection and estimation of spacecraft maneuvers for catalog maintenance

Laura Pirovano, Roberto Armellin

Building and maintaining a catalog of resident space objects involves several tasks, ranging from observations to data analysis. Once acquired, the knowledge of a space object need…

math.NA2022★ 1 cited

Robust initial orbit determination for short-arc Doppler radar observations

M. Losacco, R. Armellin, C. Yanez +3

A new Doppler radar initial orbit determination algorithm with embedded uncertainty quantification capabilities is presented. The method is based on a combination of Gauss' and Lam…

math.NA2022★ 1 cited

Multifidelity Orbit Uncertainty Propagation using Taylor Polynomials

Alberto Fossà, Roberto Armellin, Emmanuel Delande +2

A new multifidelity method is developed for nonlinear orbit uncertainty propagation. This approach guarantees improved computational efficiency and limited accuracy losses compared…