Buch

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Übersicht

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Verlag	:	KIT Scientific Publishing
Buchreihe	:	Karlsruhe series on intelligent sensor-actuator-systems (Bd. 5)
Sprache	:	Englisch
Erschienen	:	26. 05. 2009
Seiten	:	153
Einband	:	Kartoniert
Höhe	:	210 mm
Breite	:	148 mm
Gewicht	:	300 g
ISBN	:	9783866443709
Sprache	:	Englisch
Illustrationen	:	Ill., graph. Darst.

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Produktinformation

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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.

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