Neural network-based adaptive antiswing control of an underactuated ship-mounted crane with roll motions and input dead zones
As a type of indispensable oceanic transportation tools, ship-mounted crane systems are
widely employed to transport cargoes and containers on vessels due to their extraordinary …
widely employed to transport cargoes and containers on vessels due to their extraordinary …
Adaptive neural tracking control for manipulators with prescribed performance under input saturation
In this article, an improved adaptive neural network (NN) nonsingular terminal sliding mode
control (NTSMC) scheme is proposed for prescribed-performance trajectory tracking of …
control (NTSMC) scheme is proposed for prescribed-performance trajectory tracking of …
Neural network-based tracking control of uncertain robotic systems: Predefined-time nonsingular terminal sliding-mode approach
This article investigates the predefined time trajectory tracking control of uncertain nonlinear
robotic systems. A radial basis function neural network (RBFNN) is used to estimate …
robotic systems. A radial basis function neural network (RBFNN) is used to estimate …
Dead zone compensation and adaptive vibration control of uncertain spatial flexible riser systems
This article provides a framework of dead zone compensation and robust adaptive vibration
control for uncertain spatial flexible riser systems. First, nonsymmetric dead zone …
control for uncertain spatial flexible riser systems. First, nonsymmetric dead zone …
Developments and clinical evaluations of robotic exoskeleton technology for human upper-limb rehabilitation
The development of upper limb and lower extremity robotic exoskeletons has emerged as a
way to improve the quality of life as well as act as a primary rehabilitation device for …
way to improve the quality of life as well as act as a primary rehabilitation device for …
Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research
G Masengo, X Zhang, R Dong, AB Alhassan… - Frontiers in …, 2023 - frontiersin.org
Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for
assessing the robot's movements and the force they produce to generate efficient control …
assessing the robot's movements and the force they produce to generate efficient control …
Gait prediction and variable admittance control for lower limb exoskeleton with measurement delay and extended-state-observer
The measurement delay of the feedback control system is a universal problem in industrial
engineering, which will degrade output performance, especially causing undesirable chatter …
engineering, which will degrade output performance, especially causing undesirable chatter …
A novel supertwisting zeroing neural network with application to mobile robot manipulators
Various zeroing neural network (ZNN) models have been investigated to address the
tracking control of robot manipulators for the capacity of parallel processing and nonlinearity …
tracking control of robot manipulators for the capacity of parallel processing and nonlinearity …
Neural adaptive control of single-rod electrohydraulic system with lumped uncertainty
Q Guo, Z Chen - Mechanical Systems and Signal Processing, 2021 - Elsevier
In electro-hydraulic system (EHS), there exist typical lumped uncertainties due to the
uncertain hydraulic parameters and unknown external load, which usually decline the output …
uncertain hydraulic parameters and unknown external load, which usually decline the output …
Adaptive fuzzy neural network command filtered impedance control of constrained robotic manipulators with disturbance observer
G Li, J Yu, X Chen - IEEE Transactions on Neural Networks and …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive fuzzy neural network (NN) command filtered impedance
control for constrained robotic manipulators with disturbance observers. First, barrier …
control for constrained robotic manipulators with disturbance observers. First, barrier …