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20212024
most citedLikelihood Scouting Via Map Inversion For A Posterior-Sampled Particle Filter

9 citations · 12 across the 10 of their papers we have counts for

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10 papers

cs.IT2024★ 9 cited

Likelihood Scouting Via Map Inversion For A Posterior-Sampled Particle Filter

Simone Servadio

An exploit of the Sequential Importance Sampling (SIS) algorithm using Differential Algebra (DA) techniques is derived to develop an efficient particle filter. The filter creates a…

stat.AP2024★ 1 cited

Parameters Evolution in Source-Sink Space Population Evolutionary Models

Erin Ashley, Carla Simon Sanz, Simone Servadio +1

MOCAT-SSEM is a Source-Sink model that predicts the Low Earth Orbit (LEO) space population divided into families using a predefined set of interaction parameters. Thanks to data fr…

cs.IT2024

Propagation of Uncertainty with the Koopman Operator

Simone Servadio, Giovanni Lavezzi, Christian Hofmann +2

This paper proposes a new method to propagate uncertainties undergoing nonlinear dynamics using the Koopman Operator (KO). Probability density functions are propagated directly usi…

cs.IT2024

Uncertainty Propagation and Filtering via the Koopman Operator in Astrodynamics

Simone Servadio, William Parker, Richard Linares

The Koopman Operator (KO) provides an analytical solution of dynamical systems in terms of orthogonal polynomials. This work exploits this representation to include the propagation…

astro-ph.EP2024

Threat Level Estimation From Possible Break-Up Events In LEO

Simone Servadio, Daniel Jang, Richard Linares

The NASA Standard Break-Up Model models collisions and explosions in space, which identifies the future distribution of debris. Given a possible break-up event, this work analyses…

astro-ph.EP2024★ 1 cited

A New Monte-Carlo Model for the Space Environment

Daniel Jang, Davide Gusmini, Peng Mun Siew +4

This paper introduces a novel Monte Carlo (MC) method to simulate the evolution of the low-earth orbit environment, enhancing the MIT Orbital Capacity Analysis Tool (MOCAT). In rec…

math.NA2022★ 1 cited

A Lambert's Problem Solution via the Koopman Operator with Orthogonal Polynomials

Julia Pasiecznik, Simone Servadio, Richard Linares

Lambert's problem has been long studied in the context of space operations; its solution enables accurate orbit determination and spacecraft guidance. This work offers an analytica…

math.OC2022

A Koopman-Operator Control Optimization for Relative Motion in Space

Simone Servadio, Roberto Armellin, Richard Linares

A high order optimal control strategy implemented in the Koopman operator framework is proposed in this work. The new technique exploits the Koopman representation of the solution…

math.NA2021

A Koopman Operator Tutorial with Othogonal Polynomials

Simone Servadio, David Arnas, Richard Linares

The Koopman Operator (KO) offers a promising alternative methodology to solve ordinary differential equations analytically. The solution of the dynamical system is analyzed in term…

nlin.CD2021

Dynamics Near the Three-Body Libration Points via Koopman Operator Theory

Simone Servadio, David Arnas, Richard Linares

This paper investigates the application of the Koopman Operator theory to the motion of a satellite about a libration point in the Circular Restricted Three-Body Problem. Recently,…