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Convex optimization for trajectory generation: A tutorial on generating dynamically feasible trajectories reliably and efficiently
Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems. The goal of this article is to provide a comprehensive …
autonomous dynamical systems. The goal of this article is to provide a comprehensive …
Advances in trajectory optimization for space vehicle control
Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
Convex optimization for trajectory generation
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 …
autonomous dynamical systems of tomorrow. The goal of this article is to provide a …
Fast path planning through large collections of safe boxes
We present a fast algorithm for the design of smooth paths (or trajectories) that are
constrained to lie in a collection of axis-aligned boxes. We consider the case where the …
constrained to lie in a collection of axis-aligned boxes. We consider the case where the …
Robust low-thrust trajectory optimization using convex programming and a homotopic approach
AC Morelli, C Hofmann… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A robust algorithm to solve the low-thrust fuel-optimal trajectory optimization problem for
interplanetary spacecraft is developed in this article. The original nonlinear optimal control …
interplanetary spacecraft is developed in this article. The original nonlinear optimal control …
Successive convexification for trajectory optimization with continuous-time constraint satisfaction
We present successive convexification, a real-time-capable solution method for nonconvex
trajectory optimization, with continuous-time constraint satisfaction and guaranteed …
trajectory optimization, with continuous-time constraint satisfaction and guaranteed …
Performance assessment of convex low-thrust trajectory optimization methods
Different discretization and trust-region methods are compared for the low-thrust fuel-optimal
trajectory optimization problem using successive convex programming. In particular, the …
trajectory optimization problem using successive convex programming. In particular, the …
Onboard guidance for reusable rockets: Aerodynamic descent and powered landing
View Video Presentation: https://doi. org/10.2514/6.2021-0862. vid This paper describes a
novel general on-board guidance strategy which can be applied to both the aerodynamically …
novel general on-board guidance strategy which can be applied to both the aerodynamically …
Six-degree-of-freedom rocket landing optimization via augmented convex–concave decomposition
In this paper an augmented convex–concave decomposition (ACCD) method for treating
nonlinear equality constraints in an otherwise convex problem is proposed. This …
nonlinear equality constraints in an otherwise convex problem is proposed. This …
Constrained stein variational trajectory optimization
In this article, we present constrained Stein variational trajectory optimization (CSVTO), an
algorithm for performing trajectory optimization with constraints on a set of trajectories in …
algorithm for performing trajectory optimization with constraints on a set of trajectories in …