Backstepping control using adaptive neural network for industrial two link robot manipulator
This paper highlights, neural network (NN) based adaptive control using backstepping control technique is proposed for robot manipulator trajectory tracking. Firstly, the vector of current is considered as the control variable for robot manipulator mechanical subsystem by using the adaptive update a...
Saved in:
Main Authors: | Jamil, M.U., Noor, M.N., Raza, M.Q., Rizvi, S. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988259092&doi=10.1109%2fINMIC.2014.7097371&partnerID=40&md5=8f12c3a26df4a1cc7e8bab9ac7002276 http://eprints.utp.edu.my/31703/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent modeling of double link flexible robotic
manipulator using artificial neural network
by: Jamali, A., et al.
Published: (2018) -
Intelligent modeling of double link flexible robotic manipulator using artificial neural network
by: Jamali, A., et al.
Published: (2018) -
Adaptive backstepping position control of pneumatic anthropomorphic robotic hand
by: Farag, Mohannad, et al.
Published: (2015) -
Adaptive synchronous artificial neural network based PI-type sliding mode control on two robot manipulators
by: Esmaili, P., et al.
Published: (2015) -
Evolutionary Design of Backstepping Artificial Sliding Mode Based Position Algorithm: Applied to Robot Manipulator.
by: Sulaiman, Nasri, et al.
Published: (2011)