activity
20222026
most citedA low-order automatic domain splitting approach for nonlinear uncertainty mapping

22 citations · 54 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2026

Polynomial-Based Solutions to Targeting Problems for Onboard Applications

Adam Evans, Alberto Fossa, Roberto Armellin +2

This paper solves the targeting problem focusing on accuracy, computational efficiency, and reliability. The trajectory optimization problem is first recast as a polynomial optimiz…

math.NA2024

Efficient Multifidelity Uncertainty Propagation in the Presence of Process Noise

Alberto Fossà, Roberto Armellin, Emmanuel Delande +1

A multifidelity method for the nonlinear propagation of uncertainties in the presence of stochastic accelerations is presented. The proposed algorithm treats the uncertainty propag…

astro-ph.EP2023★ 21 cited

Perturbed Initial Orbit Determination

Alberto Fossà, Matteo Losacco, Roberto Armellin

An algorithm for robust initial orbit determination (IOD) under perturbed orbital dynamics is presented. By leveraging map inversion techniques defined in the algebra of Taylor pol…

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.OC2022★ 2 cited

Team theAntipodes: Solution Methodology for GTOC11

Roberto Armellin, Laurent Beauregard, Andrea Bellome +7

This paper presents the solution approach developed by the team "theAntipodes" for the 11th Global Trajectory Optimization Competition (GTOC11). The approach consists of four main…

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…