Title :
On nonlinear state estimation in a Riemannian manifold
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
We consider state estimation for partially observed processes evolving in a Riemannian manifold and obtain some new results on un-normalized nonlinear filters. We develop both local (coordinatised) versions and for the first time, extrinsic results for embedded Riemannian manifolds; the latter have computational advantages. Our results also cover continuous discrete filters. We also obtain extrinsic conditions for a process evolving in a Riemannian manifold to be Brownian motion.
Keywords :
Brownian motion; continuous time filters; discrete time filters; nonlinear filters; state estimation; Brownian motion; continuous discrete filters; embedded Riemannian manifold; nonlinear state estimation; un-normalized nonlinear filters; Calculus; Computer vision; Differential equations; Embedded computing; Filtering; Nonlinear filters; Partial differential equations; State estimation; State-space methods; Tensile stress;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400200