Deterministic Sampling for Nonlinear Dynamic State Estimation

The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distribut...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2016
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17645
Acceso en línea:
https://directory.doabooks.org/handle/20.500.12854/44863
http://hdl.handle.net/20.500.12010/17645
Palabra clave:
Sensordatenfusion
Richtungsstatistik
Directional Statistics
Computación sensible al contexto
Redes de sensores
Redes de sensores inalámbricos
Rights
License
Abierto (Texto Completo)