Robust Adaptive Neural Network Finite-Time Tracking Control for Robotic Manipulators Without Velocity Measurements

IEEE Access ◽

10.1109/access.2020.3007507 ◽

2020 ◽

Vol 8 ◽

pp. 126488-126495

Author(s):

Tie Zhang ◽

Aimin Zhang

Keyword(s):

Neural Network ◽

Finite Time ◽

Tracking Control ◽

Robotic Manipulators ◽

Velocity Measurements ◽

Adaptive Neural Network ◽

Robust Adaptive

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Robust adaptive neural network-based trajectory tracking control approach for nonholonomic electrically driven mobile robots

Robotics and Autonomous Systems ◽

10.1016/j.robot.2017.03.001 ◽

2017 ◽

Vol 92 ◽

pp. 30-40 ◽

Author(s):

Mohamed Boukens ◽

Abdelkrim Boukabou ◽

Mohammed Chadli

Keyword(s):

Neural Network ◽

Mobile Robots ◽

Trajectory Tracking ◽

Tracking Control ◽

Adaptive Neural Network ◽

Trajectory Tracking Control ◽

Control Approach ◽

Robust Adaptive

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Adaptive Neural Network-Based Finite-Time Tracking Control for Nonstrict Nonaffined MIMO Nonlinear Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2019.2944275 ◽

2019 ◽

pp. 1-11 ◽

Author(s):

Shu Li ◽

Xin An ◽

Liang Ding ◽

Qingfan Wang ◽

Haibo Gao ◽

...

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Finite Time ◽

Tracking Control ◽

Adaptive Neural Network ◽

Mimo Nonlinear Systems

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Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.04.048 ◽

2020 ◽

Vol 357 (11) ◽

pp. 6738-6759

Author(s):

Yongchao Liu ◽

Qidan Zhu

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Finite Time ◽

Tracking Control ◽

Stochastic Nonlinear Systems ◽

Adaptive Neural Network ◽

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A Finite-time Attitude Stabilization Control Approach for Spacecraft Based on Robust Adaptive Neural Network

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8997062 ◽

2019 ◽

Author(s):

Kaicheng Zhang ◽

Wenting Niu ◽

Yanzhao Zhang ◽

Shengwen Li ◽

Xinghui Zhai

Keyword(s):

Neural Network ◽

Finite Time ◽

Adaptive Neural Network ◽

Control Approach ◽

Attitude Stabilization ◽

Stabilization Control ◽

Robust Adaptive

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Adaptive neural network finite-time command filtered tracking control of fractional-order permanent magnet synchronous motor with input saturation

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.10.021 ◽

2020 ◽

Vol 357 (18) ◽

pp. 13707-13733

Author(s):

Senkui Lu ◽

Xingcheng Wang ◽

Yanan Li

Keyword(s):

Neural Network ◽

Permanent Magnet ◽

Fractional Order ◽

Finite Time ◽

Tracking Control ◽

Permanent Magnet Synchronous Motor ◽

Input Saturation ◽

Synchronous Motor ◽

Adaptive Neural Network

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Adaptive Neural Network-Based Finite-Time Online Optimal Tracking Control of the Nonlinear System With Dead Zone

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2939424 ◽

2021 ◽

Vol 51 (1) ◽

pp. 382-392 ◽

Author(s):

Liang Ding ◽

Shu Li ◽

Haibo Gao ◽

Yan-Jun Liu ◽

Lan Huang ◽

...

Keyword(s):

Neural Network ◽

Nonlinear System ◽

Finite Time ◽

Tracking Control ◽

Dead Zone ◽

Adaptive Neural Network ◽

Optimal Tracking ◽

Optimal Tracking Control

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Robust adaptive neural network tracking control for manipulators with unmodeled dynamics

2011 2nd International Conference on Intelligent Control and Information Processing ◽

10.1109/icicip.2011.6008315 ◽

2011 ◽

Author(s):

Zhigang Yu ◽

Guiying Li ◽

Xiuying Li

Keyword(s):

Neural Network ◽

Tracking Control ◽

Unmodeled Dynamics ◽

Adaptive Neural Network ◽

Robust Adaptive

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Adaptive Neural Network Finite-Time Control for Uncertain Robotic Manipulators

Journal of Intelligent & Robotic Systems ◽

10.1007/s10846-013-9888-5 ◽

2013 ◽

Vol 75 (3-4) ◽

pp. 363-377 ◽

Author(s):

Haitao Liu ◽

Tie Zhang

Keyword(s):

Neural Network ◽

Finite Time ◽

Robotic Manipulators ◽

Adaptive Neural Network ◽

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Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2869375 ◽

2019 ◽

Vol 30 (12) ◽

pp. 3611-3620 ◽

Author(s):

Qi Zhou ◽

Shiyi Zhao ◽

Hongyi Li ◽

Renquan Lu ◽

Chengwei Wu

Keyword(s):

Neural Network ◽

Tracking Control ◽

Dead Zone ◽

Robotic Manipulators ◽

Adaptive Neural Network

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Adaptive Neural Network-based Finite-Time Impedance Control of Constrained Robotic Manipulators with Disturbance Observer

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2021.3109257 ◽

2021 ◽

pp. 1-1

Author(s):

Gang Li ◽

Xinkai Chen ◽

Jinpeng Yu ◽

Jiapeng Liu

Keyword(s):

Neural Network ◽

Finite Time ◽

Disturbance Observer ◽

Impedance Control ◽

Robotic Manipulators ◽

Adaptive Neural Network

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