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...
- 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)