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 …
A survey on artificial intelligence trends in spacecraft guidance dynamics and control
The rapid developments of artificial intelligence in the last decade are influencing aerospace
engineering to a great extent and research in this context is proliferating. We share our …
engineering to a great extent and research in this context is proliferating. We share our …
Reinforcement learning for robust trajectory design of interplanetary missions
A Zavoli, L Federici - Journal of Guidance, Control, and Dynamics, 2021 - arc.aiaa.org
This paper investigates the use of reinforcement learning for the robust design of low-thrust
interplanetary trajectories in presence of severe uncertainties and disturbances, alternately …
interplanetary trajectories in presence of severe uncertainties and disturbances, alternately …
[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
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 …
Deep learning techniques for autonomous spacecraft guidance during proximity operations
This paper investigates the use of deep learning techniques for real-time optimal spacecraft
guidance during terminal rendezvous maneuvers, in presence of both operational …
guidance during terminal rendezvous maneuvers, in presence of both operational …
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 …
Real-time optimal control for irregular asteroid landings using deep neural networks
To improve the autonomy and intelligence of asteroid landing control, a real-time optimal
control approach is proposed using deep neural networks (DNN) to achieve precise and …
control approach is proposed using deep neural networks (DNN) to achieve precise and …
Reinforcement learning for angle-only intercept guidance of maneuvering targets
We present a novel guidance law that uses observations consisting solely of seeker line-of-
sight angle measurements and their rate of change. The policy is optimized using …
sight angle measurements and their rate of change. The policy is optimized using …