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

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

This paper proposed a robust finite-time tracking controller with adaptive neural networks for uncertain robotic manipulators without velocity measurements. A simple output feedback controller plus a nonlinear filter is designed to achieve satisfied performance, such as high accuracy, and fast respo...

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Bibliographic Details
Main Authors: Tie Zhang, Aimin Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Robotic manipulator
finite-time control
adaptive neural network
velocity measurement
uncertainty
Online Access:https://ieeexplore.ieee.org/document/9133541/

Internet

https://ieeexplore.ieee.org/document/9133541/

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