Robust Neural Sliding Mode Control of Robot Manipulators
Journal Article
·
· AIP Conference Proceedings
- Le Quy Don University Hanoi-Vietnam (Viet Nam)
- Institute of Information Technology, Academy of Science and Technology Vietnam (Viet Nam)
This paper proposes a robust neural sliding mode control method for robot tracking problem to overcome the noises and large uncertainties in robot dynamics. The Lyapunov direct method has been used to prove the stability of the overall system. Simulation results are given to illustrate the applicability of the proposed method.
- OSTI ID:
- 21293325
- Journal Information:
- AIP Conference Proceedings, Vol. 1107, Issue 1; Conference: CISA'09: 2. Mediterranean conference on intelligent systems and automation, Zarzis (Tunisia), 23-25 Mar 2009; Other Information: DOI: 10.1063/1.3106475; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
Similar Records
A sliding mode controller with bound estimation for robot manipulators
Tracking control of robot manipulators using sliding mode
Variable Neural Adaptive Robust Control: A Switched System Approach
Journal Article
·
Thu Apr 01 00:00:00 EST 1993
· IEEE Transactions on Robotics and Automation (Institute of Electrical and Electronics Engineers); (United States)
·
OSTI ID:21293325
Tracking control of robot manipulators using sliding mode
Journal Article
·
Wed Apr 01 00:00:00 EST 1987
· IEEE Trans. Power Electron.; (United States)
·
OSTI ID:21293325
Variable Neural Adaptive Robust Control: A Switched System Approach
Journal Article
·
Fri May 01 00:00:00 EDT 2015
· IEEE Transactions on Neural Networks and Learning Systems, 26(5):903-915
·
OSTI ID:21293325