Deterministic Sampling for Nonlinear Dynamic State Estimation

• Auteur principal: Gilitschenski, Igor (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: KIT Scientific Publishing 2016
• Collection: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
• Sujets: Sensordatenfusion; Richtungsstatistik; Directional Statistics; Stochastische Filterung; Sensor Data Fusion; DichteapproximationStochastic Filtering; Density Approximation
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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 distribut...