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Gilitschenski, IgorDeterministic Sampling for Nonlinear Dynamic State EstimationDissertationsschrift
Kartoniert, KIT Scientific Publishing (2016)
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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.< ...

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Deterministic Sampling for Nonlinear Dynamic State Estimation

Dissertationsschrift

Gilitschenski, Igor

Kartoniert, XVI, 200 S.

graph. Darst.

Sprache: Englisch

21 cm

KIT Scientific Publishing (2016)

Gewicht: 375 g

ISBN-13: 978-3-7315-0473-3

Titelnr.: 57514490

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