Deterministic Sampling for Nonlinear Dynamic State Estimation

Name: Deterministic Sampling for Nonlinear Dynamic State Estimation
Brand: KIT Scientific Publishing
SKU: 9783731504733
Price: 809 CZK
Availability: InStock

Dissertationsschrift

Autor: Igor Gilitschenski

Jazyk:

Vazba: Brožovaná

Vydavatel: KIT Scientific Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 dnů

809 Kč

The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear...

Informace o knize

Autor

Igor Gilitschenski

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

200

EAN

9783731504733

Enbook ID

02995883

Vydavatel

KIT Scientific Publishing

Hmotnost

375

Rozměry

148 x 10 x 10

Kompletní popis

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

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