Convergent newton method and neural network for the electric energy usage prediction

J de Jesús Rubio, MA Islas, G Ochoa, DR Cruz… - Information …, 2022 - Elsevier
In the neural network adaptation, the Newton method could find a minimum with its second-
order partial derivatives, and convergent gradient steepest descent could assure its error …

Composite adaptive synchronous control of dual-drive gantry stage with load movement

P Shi, X Yu, X Yang… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
In gantry systems, load usually moves according to different production tasks. The
continuous change of the beam centroid position is a non-negligible factor for achieving …

Back EMF-based dynamic position estimation in the whole speed range for precision sensorless control of PMLSM

Z Zhao, C Hu, Z Wang, S Wu, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Back electromotive force (EMF)-based sensorless control strategies for permanent-magnet
linear synchronous motor (PMLSM) have the potential to simplify the mechatronic system …

Distributed cooperative kinematic control of multiple robotic manipulators with an improved communication efficiency

J Zhang, L Jin, C Yang - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
An efficiency-oriented solution is theoretically a preferred choice to support the efficient
operation of a system. Although some studies on the multimanipulator system share the load …

GRU-type LARC strategy for precision motion control with accurate tracking error prediction

C Hu, T Ou, Y Zhu, L Zhu - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
To simultaneously achieve accurate tracking error prediction, rigorous motion accuracy, and
certain robustness to parameter variations and unknown disturbances, this article proposes …

Intelligent feedforward compensation motion control of maglev planar motor with precise reference modification prediction

T Ou, C Hu, Y Zhu, M Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In order to simultaneously provide excellent tracking performance as well as good
generalization for precision motion control of magnetically levitated (maglev) planar motors …

Optimization-based non-equidistant toolpath planning for robotic additive manufacturing with non-underfill orientation

Y Wang, C Hu, Z Wang, S Lin, Z Zhao, W Zhao… - Robotics and Computer …, 2023 - Elsevier
Additive manufacturing (AM) technology has achieved universal application in a great
number of fields, such as aerospace, medicine, and military industry. As a significant factor …

Intelligent GRU-RIC position-loop feedforward compensation control method with application to an ultraprecision motion stage

R Zhou, C Hu, T Ou, Z Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the realm of ultraprecision motion control, achieving high tracking accuracy, great
trajectory generalization, and robust disturbance rejection simultaneously remains a …

High-Accuracy Sensorless Control of Permanent Magnet Linear Synchronous Motors for Variable Speed Trajectories

S Wu, C Hu, Z Zhao, Y Zhu - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
By removing the position sensors from permanent magnet linear synchronous motors
(PMLSMs), sensorless control technology can realize applications of PMLSMs in limited …

Intelligent tracking error prediction and feedforward compensation for nanopositioning stages with high-bandwidth control

Y Meng, X Wang, WW Huang, L Li, C Hu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this article, an intelligent feedforward prediction and compensation scheme to combine
with a dual-loop high-bandwidth controller is proposed for high-speed and high-precision …