Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Unmanned aerial vehicle (UAV) modelling based on supervised neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
San Martin, R. ; Dpto. Ing. Sistemas y Autom., Univ. Politecnica de Madrid ; Barrientos, A. ; Gutierrez, P. ; Del Cerro, J.

This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, an autonomous helicopter or UAV is identified in both attitude and position systems. The evaluation of the model is done by comparing the radial basis and multilayer perceptron with the real system

Published in:

Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on

Date of Conference:

15-19 May 2006