Decoupling of the position and angular errors in laser pointing with a neural network method

L Xia, Y Hu, W Chen, X Li - High Power Laser Science and …, 2020 - cambridge.org
In laser-pointing-related applications, when only the centroid of a laser spot is considered,
then the position and angular errors of the laser beam are often coupled together. In this …

Neural network-based fuzzy vibration controller for offshore platform with random time delay

Y Zhang, H Ma, J Xu - Ocean Engineering, 2021 - Elsevier
A neural network-based fuzzy controller is proposed to attenuate the irregular wave-induced
vibration of a steel-jacket offshore platform. Firstly, the offshore platform is modeled as a …

FPGA implementation of a wireless sensor node with a built-in ADALINE neural network coprocessor for vibration analysis and fault diagnosis in machine condition …

B Bengherbia, R Kara, A Toubal, MO Zmirli, S Chadli… - Measurement, 2020 - Elsevier
Industry is a very attractive research field for wireless sensor network (WSN) applications.
This is demonstrated by the creation of a special category of these networks dedicated to …

Robust control for permanent magnet in-wheel motor in electric vehicles using adaptive fuzzy neural network with inverse system decoupling

Y Li, B Zhang, X Xu - Transactions of the Canadian Society for …, 2018 - cdnsciencepub.com
To eliminate the chattering phenomenon and effectively enhance the robustness and
dynamic response of the speed control system of a permanent magnet in-wheel motor …

A nonlinear decoupling control approach using RBFNNI-based robust pole placement for a permanent magnet in-wheel motor

Y Li, B Li, X Xu, X Sun - Ieee Access, 2017 - ieeexplore.ieee.org
This paper presents a novel nonlinear decoupling control scheme for a permanent magnet
in-wheel motor (PMIWM), in which both the radial basis function neural network inverse …

Position Measurement of Laser Center by Using 2-D PSD and Fixed-Axis Rotating Device

P Zhang, J Liu, H Yang, L Yu - IEEE access, 2019 - ieeexplore.ieee.org
Photoelectric non-contact measurement methods have been widely implemented in space
target location, micro-displacement measurement and space optical communication. In term …

Vibration prediction of pellet mills power transmission by artificial neural network

M Milovancevic, V Nikolic, NT Pavlovic, A Veg… - Assembly …, 2017 - emerald.com
Purpose The purpose of this study is to establish a vibration prediction of pellet mills power
transmission by artificial neural network. Vibration monitoring is an important task for any …

Hybrid position/virtual-force control for obstacle avoidance of wheeled robots using Elman neural network training technique

W Zheng, H Wang, Z Zhang… - International Journal of …, 2017 - journals.sagepub.com
The hybrid force position control algorithm based on neural network is considered for a class
of robot system with nonlinear uncertainties. Compared with previous work, not only the …

Surface Depression Control and Subsequent Improvements to the Formation Process of Laser Clad TiB2 Coatings.

YH LIN, JH YAO, YP LEI, HG FU… - … in Engineering (Old …, 2017 - search.ebscohost.com
Over the past decade researchers had demonstrated much interest in laser clad TiB< sub> 2
composite coating for its good wear resistance, corrosion resistance and high temperature …

[PDF][PDF] Continuous Vibration Monitoring System using Gaussian Beams and Artificial Neural Network

GKJ Job, R Anto, VK Bajio, V Jaison, JK Antony - academia.edu
Vibration monitoring is an essential tool for equipment and plant maintenance in many
industries. It is possible to extend the maintenance intervals, if vibration is monitored closely …