Sliding mode control based on a hybrid grey-wolf-optimized extreme learning machine for robot manipulators-Reference-Cited by-同舟云学术

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Sliding mode control based on a hybrid grey-wolf-optimized extreme learning machine for robot manipulators

Published:2019-05 Issue: Volume:185 Page:364-380
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Zhou Zhiyu,Wang Chao,Zhu Zefei,Wang Yaming,Yang Donghe

Funder

Zhejiang Provincial Natural Science Foundation of China

Natural Science Foundation of China

Science Foundation of Zhejiang Sci-Tech University

521 Plan of Zhejiang Sci-Tech University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference39 articles.

1. Visualized trajectory planning of flexible redundant robotic arm using a novel hybrid algorithm;Cao;Optik,2016

2. Dynamic global proportional integral derivative sliding mode control using radial basis function neural compensator for three-phase active power filter;Chu;Trans. Inst. Meas. Control,2018

3. A path planning strategy for searching the most reliable path in uncertain environments;Zhang;Int. J. Adv. Robot. Syst.,2016

4. A distributed parallel motion control for the multi-thruster autonomous underwater vehicle;He;Mech. Des. Struct. Mach.,2013

5. Tangent vector navigated robot path planning strategy using particle swarm optimized artificial potential field;Zhou;Optik,2018

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2. An Improved IEHO Super-Twisting Sliding Mode Control Algorithm for Trajectory Tracking of a Mobile Robot;Studies in Informatics and Control;2024-03-29

3. Direct adaptive fractional-order non-singular terminal sliding mode control strategy using extreme learning machine for position control of 5-DOF upper-limb exoskeleton robot systems;Transactions of the Institute of Measurement and Control;2024-02-21

4. Comparative Study of Linear and Nonlinear Calibration Algorithm for Extrapolation Problem of Near Infrared Spectroscopy Quantitative Analysis;2024

5. Trajectory tracking of Stanford robot manipulator by fractional-order sliding mode control;Applied Mathematical Modelling;2023-08

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