
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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Seitenanzahl
XVI, 200 S.
Sprache
Englisch
Verlag
KIT Scientific Publishing (2016)
Gewicht
375 g
ISBN-13
978-3-7315-0473-3
Titelnr.
57514490
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