Nonlinear state and parameter estimation of spatially distributed systems

In this thesis two probabilistic model-based estimators are introduced that allow the reconstruction and identification of space-time continuous physical systems. The Sliced Gaussian Mixture Filter (SGMF) exploits linear substructures in mixed linear/nonlinear systems, and thus is well-suited for id...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Sawo, Felix
Format:	Online
Sprache:	Englisch
Veröffentlicht:	KIT Scientific Publishing 2021
Schlagworte:	QA75.5-76.95 sensor network nonlinear estimation distributed-parameter system bic Book Industry Communication::U Computing & information technology::UY Computer science
Online-Zugang:	34479
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!