Reference : An intelligent control strategy based on ANFIS techniques in order to improve the per...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/10004

Title :	An intelligent control strategy based on ANFIS techniques in order to improve the performance of a low-cost unmanned aerial vehicle vision system
Language :	English
Author, co-author :	Marichal, G. N. [Universidad de La Laguna, Tenerife. Spain > Departamento de lng. de Sistemas y Automatica, Arq. y Tec. de Compo]
	Hernández, A. [Universidad de La Laguna, La Laguna, 38071. Tenerife. Spain > Departamento de lng. de Sistemas y Automatica, Arq. y Tec. de Compo]
	Olivares Mendez, Miguel Angel [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
	Acosta, L. [Universidad de La Laguna, La Laguna, 38071. Tenerife. Spain > Departamento de lng. de Sistemas y Automatica, Arq. y Tec. de Compo]
	Campoy, P. [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
Publication date :	2010
Main document title :	Mechatronics and Embedded Systems and Applications (MESA), 2010 IEEE/ASME International Conference on
Peer reviewed :	Yes
Event name :	Mechatronics and Embedded Systems and Applications (MESA), 2010 IEEE/ASME International Conference on
Event date :	15-17 July 2010
Keywords :	[en] intelligent control ; aerospace control ; fuzzy neural nets ; unamanned aerial vehicles ; neuro-fuzzy systems ; remotely operated vehicles ; vision ; ANFIS ; helicopter vibrations
Abstract :	[en] n this paper, an intelligent control approach based on Neuro-Fuzzy systems is presented. A model of a lowcost vision platform for an unmanned aerial system is taken in the study. A simulation platform including this low-cost vision system and the influence of the helicopter vibrations over this system is shown. The intelligent control approach has been inserted in this simulation platform. Several trials taking these Neuro-Fuzzy systems as a fundamental part of the control strategy have been carried out. Satisfactory results have been achieved in comparison with the results provided by classical techniques.
Permalink :	http://hdl.handle.net/10993/10004
DOI :	10.1109/MESA.2010.5552030
Commentary :	32-37

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access Nico_LaLaguna.pdf Publisher postprint 1.66 MB View/Open

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map