A novel kinematic parameters calibration method for industrial robot based on Levenberg-Marquardt and Differential Evolution hybrid algorithm

G Luo, L Zou, Z Wang, C Lv, J Ou, Y Huang - Robotics and Computer …, 2021 - Elsevier
The poor absolute positioning accuracy of industrial robots is the main obstacle for its further
application in precision grinding of complex surfaces, such as blisk, blade, etc. Based on the …

A modified inexact Levenberg–Marquardt method with the descent property for solving nonlinear equations

J Yin, J Jian, G Ma - Computational Optimization and Applications, 2024 - Springer
In this work, we propose a modified inexact Levenberg–Marquardt method with the descent
property for solving nonlinear equations. A novel feature of the proposed method is that one …

An adaptive multi-step Levenberg-Marquardt continuation power flow method for voltage stability assessment in the Ill-conditioned power systems

R Pourbagher, SY Derakhshandeh… - International Journal of …, 2022 - Elsevier
Continuation power flow (CPF) is a well-known way for determining voltage instability point
in electrical power systems. In an ill-conditioned power system, solving traditional CPF using …

A novel positioning accuracy improvement method for polishing robot based on Levenberg–Marquardt and opposition-based learning squirrel search algorithm

Y Deng, X Hou, B Li, J Wang, Y Zhang - Journal of Intelligent & Robotic …, 2024 - Springer
Achieving high-precision manufacturing of optical components requires improving the
absolute positioning accuracy of the robot to the highest possible level. Identifying the …

A multiple test arbors-based calibration method for a hybrid machine tool

M Li, L Wang, G Yu, W Li, X Kong - Robotics and Computer-Integrated …, 2023 - Elsevier
Kinematic calibration is a necessary way to guarantee the accuracy of hybrid machine tools.
The traditional calibration methods have high requirements for the measuring instruments …

A novel calibration method for kinematic parameter errors of industrial robot based on Levenberg–Marquard and Beetle Antennae Search algorithm

M Fan, H Zhao, J Wen, L Yu, H **a - Measurement Science and …, 2023 - iopscience.iop.org
In this paper, a new kinematic parameter error calibration method based on the Levenberg–
Marquard and the beetle antennae search algorithm is proposed to enhance the positioning …

An efficient Fisher matrix approximation method for large-scale neural network optimization

M Yang, D Xu, Q Cui, Z Wen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although the shapes of the parameters are not crucial for designing first-order optimization
methods in large scale empirical risk minimization problems, they have important impact on …

MPLM algorithm based fault location method for MTDC systems using backward voltage traveling waves

L Liu, X Kang, X Ma, X Chen, S Li, X Li, X Liu - Electric Power Systems …, 2024 - Elsevier
Accurate DC fault location enhances resilience and reduces system downtime and
economic losses of multi-terminal direct current (MTDC) systems. This paper introduces a …

[HTML][HTML] Use of machine learning technology to model the distribution of lithotypes in the Permo-Carboniferous oil deposit of the Usinskoye field

DV Potekhin, SV Galkin - Записки Горного института, 2023 - cyberleninka.ru
Permo-Carboniferous oil deposit of the Usinskoye field is characterized by an extremely
complex type of the void space with intense cross-sectional distribution of cavernous and …

Convergence rate of the Levenberg-Marquardt method under Hölderian local error bound

H Wang, J Fan - Optimization Methods and Software, 2020 - Taylor & Francis
In this paper, we study the convergence rate of the Levenberg-Marquardt (LM) method
under the Hölderian local error bound condition and the Hölderian continuity of the …