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ESANN
2004
13 years 8 months ago
A sliding mode controller using neural networks for robot manipulator
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
Hajoon Lee, Dongkyung Nam, Cheol Hoon Park
TFS
2008
129views more  TFS 2008»
13 years 5 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
ENGL
2008
139views more  ENGL 2008»
13 years 7 months ago
Global Stabilization of Robot Control with Neural Network and Sliding Mode
This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode contro...
T. C. Kuo, Y. J. Huang
WCE
2007
13 years 8 months ago
Neural Network Global Sliding Mode PID Control for Robot Manipulators
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
T. C. Kuo, Y. J. Huang
IJCNN
2007
IEEE
14 years 1 months ago
Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities
This paper describes the optimal tuning for the output limits of the power system stabilizer (PSS), which can improve the system damping performance immediately following a large d...
Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayag...