KIT Scientific Publishing

Im Shop suchen

30,90 €

inkl. 7 % USt. exkl. Versandkosten

Felix Sawo

Nonlinear state and parameter estimation of spatially distributed systems

(Karlsruhe Series on Intelligent Sensor-Actuator-Systems ; 5)

AutorSawo, Felix

VerlagUniversitätsverlag Karlsruhe, Karlsruhe

ISBN9783866443709

UmfangXI, 153 S.

Veröffentlicht
am:
26.05.2009

Erscheinungs-
jahr
2009

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000011485

Abstract

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 identifying various model parameters. The Covariance Bounds Filter (CBF) allows the efficient estimation of widely distributed systems in a decentralized fashion.