Learning reference governor for constrained spacecraft rendezvous and proximity maneuvering

K Ikeya, K Liu, A Girard, I Kolmanovsky - Journal of Spacecraft and …, 2023 - arc.aiaa.org
Spacecraft automated rendezvous, proximity maneuvering, and docking (ARPOD) play
significant roles in many space missions, including on-orbit servicing and active debris …

Reference governors based on offline training of regression neural networks

CY Lim, H Ossareh… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper presents two machine learning-based constraint management approaches
based on Reference Governors (RGs). The first approach, termed NN-DTC, uses regression …

Protecting systems from violating constraints using reference governors

I Kolmanovsky, N Li - SN Computer Science, 2022 - Springer
Reference governors are add-on predictive safety supervision algorithms that monitor and
modify, if it becomes necessary, commands passed to a nominal system to ensure that …

Learning to satisfy constraints in spacecraft rendezvous and proximity maneuvering: A learning reference governor approach

K Ikeya, K Liu, A Girard, IV Kolmanovsky - AIAA SCITECH 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-2514. vid This paper illustrates an
approach to integrate learning into spacecraft automated rendezvous, proximity …

Parameter-adaptive reference governors with learned robust constraint-admissible sets

A Chakrabarty, K Berntorp, S Di Cairano - Control Engineering Practice, 2023 - Elsevier
Reference governors (RGs) provide an effective method for ensuring safety via constraint
enforcement in closed-loop nonlinear control systems. When the system parameters are …

Hardware Implementation of Learning Reference Governors for Spacecraft Rendezvous and Proximity Maneuvering with Mobile Robots

J Heidegger, S Romano, AR Kondur, A Girard… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
Automated rendezvous, proximity operations, and docking (RPOD) are essential elements of
on-orbit refueling and servicing, space station resupply, and debris removal missions. These …

Model-free Learning and Interaction-aware Control for Safe Autonomous Driving

K Liu - 2023 - deepblue.lib.umich.edu
Autonomous vehicles technologies have greatly advanced in recent years, with promises of
various benefits, including improved safety, efficient transportation, increased accessibility …