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20192025
most citedGuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming

119 citations · 151 across the 7 of their papers we have counts for

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6 papers · 1 filter

math.OC2025

A Characterization of Law-Invariant and Coherent Risk Measures through Optimal Transport

Riccardo Bonalli, Benoît Bonnet-Weill, Laurent Pfeiffer

In this article, we propose a novel characterization of law-invariant and coherent risk measures, based on a generalized optimal transport problem in which the second marginal of t…

math.OC20231 cited

Characterization of Singular Arcs in Spacecraft Trajectory Optimization

Andrea Carlo Morelli, Carmine Giordano, Riccardo Bonalli +1

Low-thrust engines for interplanetary spacecraft transfers allow cost-effective space missions with flexible launch and arrival dates. To find fuel-optimal trajectories, an optimal…

math.OC2022

Using Spectral Submanifolds for Nonlinear Periodic Control

Florian Mahlknecht, John Irvin Alora, Shobhit Jain +4

Very high dimensional nonlinear systems arise in many engineering problems due to semi-discretization of the governing partial differential equations, e.g. through finite element m…

math.OC20215 cited

Convex Optimization for Trajectory Generation

Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk +4

Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems of tomorrow. The goal of this article is to provide a comprehensive tut…

math.OC201926 cited

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach

Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi +2

Sequential Convex Programming (SCP) has recently gained popularity as a tool for trajectory optimization due to its sound theoretical properties and practical performance. Yet, mos…

math.OC2019119 cited

GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming

Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard +1

Sequential Convex Programming (SCP) has recently seen a surge of interest as a tool for trajectory optimization. However, most available methods lack rigorous performance guarantee…