Robust Neural Network Control of Electrically Driven Robot Manipulator Using Backstepping Approach
A novel approach to neural network based tracking-control of robot manipulator including actuator dynamics is proposed by using of backstepping method. A simple two-step backstepping is considered for an n-link robotic system, and a feedforward neural controller is designed at second step where stru...
Main Authors: | Seyed Ehsan Shafiei, Mohammad Reza Soltanpour |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2009-12-01
|
Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/7239 |
Similar Items
-
Robust Neural Network Control of Electrically Driven Robot Manipulator using Backstepping Approach
by: Seyed Ehsan Shafiei, et al.
Published: (2010-02-01) -
Decentralized Neural Backstepping Control Applied to a Robot Manipulator
by: Ramon Garcia-Hernandez, et al.
Published: (2013-01-01) -
Adaptive Robust Tracking Control Based on Backstepping Method for Uncertain Robotic Manipulators Including Motor Dynamics
by: javad keighobadi, et al.
Published: (2021-01-01) -
RBF Neural Network Based Backstepping Control for an Electrohydraulic Elastic Manipulator
by: Duc-Thien Tran, et al.
Published: (2019-05-01) -
Command filtered backstepping control of constrained flexible joint robotic manipulator
by: Mohammad Mehdi Arefi, et al.
Published: (2023-12-01)