Soft robot optimal control via reduced order finite element models
S Tonkens, J Lorenzetti… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Finite element methods have been successfully used to develop physics-based models of
soft robots that capture the nonlinear dynamic behavior induced by continuous deformation …
soft robots that capture the nonlinear dynamic behavior induced by continuous deformation …
Linear reduced-order model predictive control
J Lorenzetti, A McClellan, C Farhat… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Model predictive controllers use dynamics models to solve constrained optimal control
problems. However, computational requirements for real-time control have limited their use …
problems. However, computational requirements for real-time control have limited their use …
UAV aircraft carrier landing using CFD-based model predictive control
J Lorenzetti, AR McClellan, C Farhat… - AIAA Scitech 2020 …, 2020 - arc.aiaa.org
The control problem associated with autonomous aircraft carrier landings for UAVs is
challenging due to requirements on safety, high-performance operation, and uncertain and …
challenging due to requirements on safety, high-performance operation, and uncertain and …
Reduced-Order Modeling of a Soft Anthropomorphic Finger for Piano Keystrokes
The soft-bodied robotic hand provides a new paradigm for developing intelligent robotic
systems with omnidirectional flexibility. This paper presents a novel approach to modeling …
systems with omnidirectional flexibility. This paper presents a novel approach to modeling …
Bio-inspired Robotics Lab, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK hw567@ cam. ac. uk
The soft-bodied robotic hand provides a new paradigm for developing intelligent robotic
systems with omnidirectional flexibility. This paper presents a novel approach to modeling …
systems with omnidirectional flexibility. This paper presents a novel approach to modeling …
[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 …