Adaptive finite-time tracking control of robot manipulators with multiple uncertainties based on a low-cost neural approximator-Reference-Cited by-同舟云学术

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Adaptive finite-time tracking control of robot manipulators with multiple uncertainties based on a low-cost neural approximator

Published:2022-07 Issue:10 Volume:359 Page:4938-4958
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhou Bing^ORCID,Yang Liang^ORCID,Wang Chengdong^ORCID,Lai Guanyu,Chen Yong^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference37 articles.

1. Research and application status of industrial robot control system;Yan,2018

2. A study on speech recognition control for a surgical robot;Zinchenko;IEEE Trans. Ind. Inf.,2017

3. A real-time human imitation system using kinect;Ou;Int. J. Soc. Robot.,2015

4. Terminal sliding mode control for a military robot system with nonlinear disturbance observer;Xie,2012

5. Kinematic analysis of hydraulic manipulators for a disaster response robot;Jung,2017

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1. Iterative flexibility compensation based high precision trajectory tracking for industrial manipulators;Journal of the Franklin Institute;2024-09

2. Adaptive fixed-time fuzzy fault-tolerant control for robotic manipulator with unknown friction and composite actuator faults;Journal of the Franklin Institute;2024-08

3. Adaptive neural network control of manipulators with uncertain kinematics and dynamics;Engineering Applications of Artificial Intelligence;2024-07

4. Event‐triggered adaptive tracking control for stochastic nonlinear systems under predetermined finite‐time performance;International Journal of Adaptive Control and Signal Processing;2024-04-17

5. Event-triggered practical tracking control for an uncertain free-flying flexible-joint space robot with dead-zone input;Transactions of the Institute of Measurement and Control;2024-01-31

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