A physics-based digital twin for model predictive control of autonomous unmanned aerial vehicle landing
A McClellan, J Lorenzetti… - … Transactions of the …, 2022 - royalsocietypublishing.org
This paper proposes a two-level, data-driven, digital twin concept for the autonomous
landing of aircraft, under some assumptions. It features a digital twin instance (DTI) for model …
landing of aircraft, under some assumptions. It features a digital twin instance (DTI) for model …
Data-driven spectral submanifold reduction for nonlinear optimal control of high-dimensional robots
Modeling and control of high-dimensional, nonlinear robotic systems remains a challenging
task. While various model-and learning-based approaches have been proposed to address …
task. While various model-and learning-based approaches have been proposed to address …
Practical deployment of spectral submanifold reduction for optimal control of high-dimensional systems
Real-time optimal control of high-dimensional, nonlinear systems remains a challenging
task due to the computational intractability of their models. While several model-reduction …
task due to the computational intractability of their models. While several model-reduction …
[图书][B] Projection-based model order reduction for model predictive control of a descending aircraft
AR McClellan - 2021 - search.proquest.com
The landing of an aircraft is one of the most important aspects of flight, and also one of the
most difficult. This challenge is only amplified in the context of aircraft carrier landings …
most difficult. This challenge is only amplified in the context of aircraft carrier landings …