Learning reference governor for constrained spacecraft rendezvous and proximity maneuvering
Spacecraft automated rendezvous, proximity maneuvering, and docking (ARPOD) play
significant roles in many space missions, including on-orbit servicing and active debris …
significant roles in many space missions, including on-orbit servicing and active debris …
Improving autonomous vehicle in‐traffic safety using learning‐based action governor
Abstract The Action Governor (AG) is a supervisory scheme augmenting a nominal control
system in order to enhance the system's safety and performance. It acts as an action filter …
system in order to enhance the system's safety and performance. It acts as an action filter …
Safe learning reference governor: Theory and application to fuel truck rollover avoidance
This paper proposes a learning reference governor (LRG) approach to enforce state and
control constraints in systems for which an accurate model is unavailable. This approach …
control constraints in systems for which an accurate model is unavailable. This approach …
Learning to satisfy constraints in spacecraft rendezvous and proximity maneuvering: A learning reference governor approach
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 …
approach to integrate learning into spacecraft automated rendezvous, proximity …
Game-theoretic and set-based methods for safe autonomous vehicles on shared roads
N Li - 2021 - deepblue.lib.umich.edu
Autonomous vehicle (AV) technology promises safer, cleaner, and more efficient
transportation, as well as improved mobility for the young, elderly, and disabled. One of the …
transportation, as well as improved mobility for the young, elderly, and disabled. One of the …
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 …
various benefits, including improved safety, efficient transportation, increased accessibility …
[PDF][PDF] Safe learning reference governor for constrained systems with application to fuel truck rollover avoidance
This paper proposes a learning reference governor (LRG) approach to enforce state and
control constraints in systems for which an accurate model is unavailable; and this approach …
control constraints in systems for which an accurate model is unavailable; and this approach …
Toward Safe Control under Uncertainty: Adaptation and Prediction for Control Barrier Functions
M Black - 2023 - deepblue.lib.umich.edu
Control design for nonlinear dynamical systems is an essential field of study in a world
growing ever more reliant on autonomous system technologies. In practical applications, it is …
growing ever more reliant on autonomous system technologies. In practical applications, it is …