Adaptive NN control of dynamic systems with unknown dynamic friction

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2000, Pages 1760-1765

  Ge, S S ^a   Lee, T H ^a   Wang, J ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FRICTION; FUNCTIONS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SERVOMECHANISMS; THEOREM PROVING;

LUGRE MODEL; LYAPUNOV FUNCTION; LYAPUNOV SYNTHESIS; UNKNOWN DYNAMIC FRICTION;

ADAPTIVE CONTROL SYSTEMS;

EID: 0034440062     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. A survey of analysis tools and compensation methods for the control of machines with friction
2. A new model for control of systems with friction
3. Adaptive friction compensation for systems with generalized velocity/position friction dependency
4. Adaptive friction compensation with partially known dynamic friction model
5. Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks
6. On adaptive friction compensation
7. Adaptive neural network control of robot manipulators
8. Adaptive friction compensation of servo mechanisms
9. Reinforcement adaptive learning neural-net-based friction compensation control for high speed and precision
10. Passivity-based control of Euler-lagrange systems
11. Adaptive nonlinear friction compensation with parametric uncertainties