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dc.contributor Gómez Muntané, Gerardo
dc.creator Ribas Fernández, Eduard
dc.date 2017-04-27T08:40:55Z
dc.date 2017-04-27T08:40:55Z
dc.date 2016-06-20
dc.date.accessioned 2024-12-16T10:24:14Z
dc.date.available 2024-12-16T10:24:14Z
dc.identifier http://hdl.handle.net/2445/110182
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/17333
dc.description Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Gerardo Gómez Muntané
dc.description Kalman Filters are optimal estimation algorithms that have numerous applications in science and technology. They are one of the main topics in Control Theory and Control Systems, and they are shown to be very useful when tracking dynamic systems. In this thesis we present the Least-Squares Method as a previous step to Kalman Filters, for which we discuss some of their versions, like the Linear Kalman Filter, the Extendend Kalman Filter and nonlinear estimators. Then, some simple dynamical simulations are described in order to understand the implementation of a Kalman Filter. Finally, we conclude this work by introducing the basis of the problem of satellite Orbit Determination, one of the applications of Kalman Filering.
dc.format 51 p.
dc.format application/pdf
dc.language cat
dc.rights cc-by-nc-nd (c) Eduard Ribas Fernández, 2016
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Matemàtiques
dc.subject Sistemes dinàmics diferenciables
dc.subject Treballs de fi de grau
dc.subject Filtre de Kalman
dc.subject Òrbites
dc.subject Differentiable dynamical systems
dc.subject Bachelor's theses
dc.subject Kalman filtering
dc.subject Orbits
dc.title Filtres de Kalman
dc.type info:eu-repo/semantics/bachelorThesis


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