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Stable and Efficient Cubature-based Filtering in Dynamical Systems

Autor Dominik Ballreich
en Limba Engleză Paperback – 12 mai 2018
The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be used to speed up and stabilize filter algorithms. With the help of these methods, better estimates and predictions of latent variables are made possible in the fields of economics, engineering and physics. The resulting procedures are tested within four detailed simulation studies.
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Specificații

ISBN-13: 9783319872391
ISBN-10: 3319872397
Pagini: 160
Ilustrații: XVII, 160 p. 19 illus., 14 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.26 kg
Ediția:Softcover reprint of the original 1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Filtering in Dynamical Systems.- Deterministic Numerical Integration.- Optimization and Stabilization of Cubature Rules.- Simulation Studies.- Results.- Appendices.- Index.- Bibliography.

Notă biografică

Dominik Ballreich is a research assistant at the Chair for Applied Statistics and Methods of Empirical Social Research at the University of Hagen. His research interests lie in the fields of recursive Bayesian estimation, numerical integration and heuristic optimization.

Textul de pe ultima copertă

The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be used to speed up and stabilize filter algorithms. With the help of these methods, better estimates and predictions of latent variables are made possible in the fields of economics, engineering and physics. The resulting procedures are tested within four detailed simulation studies.


Caracteristici

Develops new methods of deterministic numerical integration Derives and describes state of the art filter algorithms Presents methods of deterministic numerical integration