Adaptive motion control using neural network approximations

Automatica

Volumn 38, Issue 2, 2002, Pages 227-233

  Huang, S N ^a   Tan, K K ^a   Lee, T H ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Adaptive control; Compensation; Friction; Neural networks; Uncertainty

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; APPROXIMATION THEORY; COMPUTER SIMULATION; FRICTION; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS;

ADAPTIVE MOTION CONTROL;

MOTION CONTROL;

EID: 0036466752     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(01)00192-3     Document Type: Article

References (10)

1. A new model for control of systems with friction
2. Control of nonlinear systems with friction
3. Use of neural fuzzy networks with mixed genetic/gradient algorithm in automated vehicle control
4. Reinforcement adaptive learning neural-net-based control for high-speed and precision
5. Friction compensation for an industrial hydraulic robot
6. Neural network approximation of piecewise continuous functions: Application to friction compensation
7. Friction modeling and adaptive compensation using a relay feedback approach
8. Accurate tracking control of linear synchronous motor machine tool axes