Position control of a PM stepper motor using neural networks

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2000, Pages 1766-1769

  Feng, G ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL THEORY; LINEARIZATION; LYAPUNOV METHODS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; STEP RESPONSE; STEPPING MOTORS;

EXACT LINEARIZATION CONTROLLER; LEARNING CONVERGENCE; LYAPUNOV FUNCTION; LYAPUNOV THEORY; NEURAL NETWORK BASED COMPENSATING CONTROLLER;

POSITION CONTROL;

EID: 0034439107     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Position control of a PM stepper motor by exact linearization
2. Feedback linearizing control of switched reluctance motors
3. Nonlinear composite control of switched reluctance motors
4. Issues in the application of neural networks for tracking based on inverse control
5. Discrete-time neural net controller for a class of nonlinear dynamical systems
6. Gaussian networks for direct adaptive control
7. Layered neural networks with gaussian hidden units as universal approximations
8. Universal approximation using radial-basis-function networks
9. Gaussian networks for direct adaptive control
10. Local training of radial basis function networks: Towards solving the hidden unit problem