Cross-entropy optimization for scaling factors of a fuzzy controller: a see-and-avoid approach for unmanned aerial systems

Olivares Méndez, Miguel Ángel, Mejias Alvarez, Luis, Campoy Cervera, Pascual ORCID: https://orcid.org/0000-0002-9894-2009 and Mellado Bataller, Ignacio (2013). Cross-entropy optimization for scaling factors of a fuzzy controller: a see-and-avoid approach for unmanned aerial systems. "Journal of Intelligent & Robotic Systems", v. 69 (n. 1-4); pp. 189-205. ISSN 0921-0296. https://doi.org/10.1007/s10846-012-9791-5.

Descripción

Título: Cross-entropy optimization for scaling factors of a fuzzy controller: a see-and-avoid approach for unmanned aerial systems
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Intelligent & Robotic Systems
Fecha: Enero 2013
ISSN: 0921-0296
Volumen: 69
Número: 1-4
Materias:
ODS:
Palabras Clave Informales: UAV, UAS, Fuzzy logic, Fuzzy control, Cross-Entropy, Visual servoing, Computer vision, Sense and avoid, See and avoid, Optimization
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[thumbnail of INVE_MEM_2012_139563.pdf]
Vista Previa
PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (5MB) | Vista Previa

Resumen

The Cross-Entropy (CE) is an efficient method for the estimation of rare-event probabilities and combinatorial optimization. This work presents a novel approach of the CE for optimization of a Soft-Computing controller. A Fuzzy controller was designed to command an unmanned aerial system (UAS) for avoiding collision task. The only sensor used to accomplish this task was a forward camera. The CE is used to reach a near-optimal controller by modifying the scaling factors of the controller inputs. The optimization was realized using the ROS-Gazebo simulation system. In order to evaluate the optimization a big amount of tests were carried out with a real quadcopter.

Más información

ID de Registro: 19070
Identificador DC: https://oa.upm.es/19070/
Identificador OAI: oai:oa.upm.es:19070
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5488155
Identificador DOI: 10.1007/s10846-012-9791-5
URL Oficial: http://link.springer.com/article/10.1007%2Fs10846-...
Depositado por: Memoria Investigacion
Depositado el: 02 Feb 2014 11:53
Ultima Modificación: 12 Nov 2025 00:00