Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation-Reference-Cited by-同舟云学术

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Neural network‐based continuous finite‐time tracking control for uncertain robotic systems with actuator saturation

Published:2022-03-08 Issue:6 Volume:24 Page:3475-3493
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Li Yi¹²,Sai Huayang¹²,Zhu Mingchao¹^ORCID,Xu Zhenbang¹,Mu Deqiang³

Affiliation:

1. Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun China

2. University of Chinese Academy of Sciences Beijing China

3. Department of Mechanical Engineering Changchun University of Technology Changchun China

Funder

Jilin Scientific and Technological Development Program

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2744

Reference34 articles.

1. Finite-Time Trajectory Tracking Control of Space Manipulator Under Actuator Saturation

2. Discrete-Time Fast Terminal Sliding Mode Control for Permanent Magnet Linear Motor

3. Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton

4. Composite Adaptive Control of Uncertain Euler‐Lagrange Systems with Parameter Convergence without PE Condition

5. Full‐Order Sliding‐Mode Control of Rigid Robotic Manipulators

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1. Robust adaptive predictive digital controller with integral action for set-point regulation of saturated uncertain systems;Journal of the Franklin Institute;2024-08

2. Practical fixed‐time tracking control of quadrotor unmanned aerial vehicles with input saturation;Asian Journal of Control;2024-02-25

3. Adaptive fuzzy neural network finite‐time command filtered control of n‐link robotic systems with actuator saturation;Asian Journal of Control;2023-12-04

4. Adaptive Neural Network Global Fractional Order Fast Terminal Sliding Mode Model-Free Intelligent PID Control for Hypersonic Vehicle’s Ground Thermal Environment;Aerospace;2023-08-31

5. Adaptive neural control with fast approximation for uncertain nonlinear systems: A novel composite learning approach;Asian Journal of Control;2023-05-14

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