Kernel characterization of an interval function
Idioma
en
Article de revue
Este ítem está publicado en
Mathematics in Computer Science. 2014-08-01, vol. 8, n° 3-4, p. 379-390
Springer
Resumen en inglés
This paper proposes a set-membership approach to characterize the kernel of an intervalvalued function. In the context of a bounded-error estimation, this formulation makes it possible to embed all uncertainties of the ...Leer más >
This paper proposes a set-membership approach to characterize the kernel of an intervalvalued function. In the context of a bounded-error estimation, this formulation makes it possible to embed all uncertainties of the problem inside the interval function and thus to avoid bisections with respect to all these uncertainties. To illustrate the principle of the approach, two testcases taken from robotics will be presented. The first testcase deals with the characterization of all loops of a mobile robot from proprioceptive measurements only. The second testcase is the localization of a robot from range-only measurements.< Leer menos
Palabras clave en inglés
localization
interval analysis
kernel
robotics
loop closure
localization.
Orígen
Importado de HalCentros de investigación