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

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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