Deterministic Sampling for Nonlinear Dynamic State Estimation

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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Superior document:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
:
Gilitschenski, Igor
Year of Publication:2016
Language:English
Series:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
Physical Description:1 electronic resource (XVI, 167 p. p.)
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spelling Gilitschenski, Igor auth
Deterministic Sampling for Nonlinear Dynamic State Estimation
KIT Scientific Publishing 2016
1 electronic resource (XVI, 167 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
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 distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.
English
Sensordatenfusion
Richtungsstatistik
Directional Statistics
Stochastische Filterung
Sensor Data Fusion
DichteapproximationStochastic Filtering
Density Approximation
3-7315-0473-1
language English
format eBook
author Gilitschenski, Igor
spellingShingle Gilitschenski, Igor
Deterministic Sampling for Nonlinear Dynamic State Estimation
Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
author_facet Gilitschenski, Igor
author_variant i g ig
author_sort Gilitschenski, Igor
title Deterministic Sampling for Nonlinear Dynamic State Estimation
title_full Deterministic Sampling for Nonlinear Dynamic State Estimation
title_fullStr Deterministic Sampling for Nonlinear Dynamic State Estimation
title_full_unstemmed Deterministic Sampling for Nonlinear Dynamic State Estimation
title_auth Deterministic Sampling for Nonlinear Dynamic State Estimation
title_new Deterministic Sampling for Nonlinear Dynamic State Estimation
title_sort deterministic sampling for nonlinear dynamic state estimation
series Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
series2 Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
publisher KIT Scientific Publishing
publishDate 2016
physical 1 electronic resource (XVI, 167 p. p.)
isbn 1000051670
3-7315-0473-1
illustrated Not Illustrated
work_keys_str_mv AT gilitschenskiigor deterministicsamplingfornonlineardynamicstateestimation
status_str n
ids_txt_mv (CKB)4920000000100779
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hierarchy_parent_title Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
is_hierarchy_title Deterministic Sampling for Nonlinear Dynamic State Estimation
container_title Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
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