Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2009 | Volume: 9 | Issue: 22 | Page No.: 3957-3965
DOI: 10.3923/jas.2009.3957.3965
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

State Estimation for Mobile Robot Using Neural Networks

S. Chouraqui and M. Benyettou

Abstract:
In this study, we describe a state estimation method using neural networks. The developed method has been applied to the problem of estimating the parameter of a six degree of freedom (DOF) PUMA 560 Robot arm manipulator. The results obtained were compared with the conventional Extended Kalman Filter, showing an improvement in performance and robustness. From the simulations performed, it can be said that the neural filter proposed for the studied application is more consisted and convergent than the EKF filter.
PDF Fulltext XML References Citation Report Citation
How to cite this article:

S. Chouraqui and M. Benyettou, 2009. State Estimation for Mobile Robot Using Neural Networks. Journal of Applied Sciences, 9: 3957-3965.

DOI: 10.3923/jas.2009.3957.3965

URL: https://scialert.net/abstract/?doi=jas.2009.3957.3965

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom