MPC-based motion planning and control enables smarter and safer autonomous marine vehicles: Perspectives and a tutorial survey
Autonomous marine vehicles (AMVs) have received considerable attention in the past few
decades, mainly because they play essential roles in broad marine applications such as …
decades, mainly because they play essential roles in broad marine applications such as …
Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives
This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
Human-robot co-carrying using visual and force sensing
In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …
Efficient nonlinear model predictive control for quadrotor trajectory tracking: Algorithms and experiment
D Wang, Q Pan, Y Shi, J Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article studies an efficient nonlinear model-predictive control (NMPC) scheme for
trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV). By augmenting the …
trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV). By augmenting the …
Velocity-tracking control based on refined disturbance observer for gimbal servo system with multiple disturbances
Multiple disturbances are the main constraints that hinder the high-performance velocity
tracking of the gimbal servo system in control moment gyro. This article presents a non …
tracking of the gimbal servo system in control moment gyro. This article presents a non …
Trajectory tracking control of autonomous ground vehicles using adaptive learning MPC
In this work, an adaptive learning model predictive control (ALMPC) scheme is proposed for
the trajectory tracking of perturbed autonomous ground vehicles (AGVs) subject to input …
the trajectory tracking of perturbed autonomous ground vehicles (AGVs) subject to input …
Nonlinear model predictive control for mobile medical robot using neural optimization
Mobile medical robots have been widely used in various structured scenarios, such as
hospital drug delivery, public area disinfection, and medical examinations. Considering the …
hospital drug delivery, public area disinfection, and medical examinations. Considering the …
Virtual coupling in railways: A comprehensive review
J Felez, MA Vaquero-Serrano - Machines, 2023 - mdpi.com
The current mobility situation is constantly changing as people are increasingly moving to
urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and …
urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and …