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Deterministic Sampling for Nonlinear Dynamic State Estimation

Deterministic Sampling for Nonlinear Dynamic State Estimation

von Igor Gilitschenski
Softcover - 9783731504733
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Beschreibung

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.

Details

Verlag KIT Scientific Publishing
Ersterscheinung 19. April 2016
Maße 21 cm x 14.8 cm
Gewicht 375 Gramm
Format Softcover
ISBN-13 9783731504733
Seiten 200

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