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Igor Gilitschenski

Deterministic Sampling for Nonlinear Dynamic State Estimation

(Karlsruhe Series on Intelligent Sensor-Actuator-Systems ; 18)

AutorGilitschenski, Igor

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731504733

UmfangXVI, 167 S.

Veröffentlicht
am:
19.04.2016

Erscheinungs-
jahr
2016

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000051670

Abstract

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.