Review of advanced guidance and control algorithms for space/aerospace vehicles
The design of advanced guidance and control (G&C) systems for space/aerospace vehicles
has received a large amount of attention worldwide during the last few decades and will …
has received a large amount of attention worldwide during the last few decades and will …
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 …
[HTML][HTML] Using artificial intelligence for space challenges: A survey
A Russo, G Lax - Applied Sciences, 2022 - mdpi.com
Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …
and research areas, such as intelligent data processing, natural language processing …
Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges
This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …
spacecraft control problems. Different application fields are considered, eg, guidance …
Survey of machine learning techniques in spacecraft control design
In this paper, a survey on the machine learning techniques in spacecraft control design is
given. Among the applications of machine learning on the subject are the design of optimal …
given. Among the applications of machine learning on the subject are the design of optimal …
Image-based deep reinforcement meta-learning for autonomous lunar landing
Future exploration and human missions on large planetary bodies (eg, moon, Mars) will
require advanced guidance navigation and control algorithms for the powered descent …
require advanced guidance navigation and control algorithms for the powered descent …
Autonomous closed-loop guidance using reinforcement learning in a low-thrust, multi-body dynamical environment
Onboard autonomy is an essential component in enabling increasingly complex missions
into deep space. In nonlinear dynamical environments, computationally efficient guidance …
into deep space. In nonlinear dynamical environments, computationally efficient guidance …
Deep reinforcement learning for rendezvous guidance with enhanced angles-only observability
H Yuan, D Li - Aerospace Science and Technology, 2022 - Elsevier
This research studies the application of reinforcement learning in spacecraft angles-only
rendezvous guidance in the presence of multiple constraints and uncertainties. To apply a …
rendezvous guidance in the presence of multiple constraints and uncertainties. To apply a …
Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions
In this paper, a meta-reinforcement learning approach is investigated to design an adaptive
guidance algorithm capable of carrying out multiple rendezvous space missions …
guidance algorithm capable of carrying out multiple rendezvous space missions …
Image-based meta-reinforcement learning for autonomous guidance of an asteroid impactor
This paper focuses on the use of meta-reinforcement learning for the autonomous guidance
of a spacecraft during the terminal phase of an impact mission toward a binary asteroid …
of a spacecraft during the terminal phase of an impact mission toward a binary asteroid …