Open access peer-reviewed chapter

Efficient Matrix-Free Ensemble Kalman Filter Implementations: Accounting for Localization

By Elias David Niño Ruiz, Rolando Beltrán Arrieta and Alfonso Manuel Mancilla Herrera

Submitted: April 28th 2017Reviewed: November 14th 2017Published: February 21st 2018

DOI: 10.5772/intechopen.72465

Downloaded: 137

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Elias David Niño Ruiz, Rolando Beltrán Arrieta and Alfonso Manuel Mancilla Herrera (February 21st 2018). Efficient Matrix-Free Ensemble Kalman Filter Implementations: Accounting for Localization, Kalman Filters Ginalber Luiz de Oliveira Serra, IntechOpen, DOI: 10.5772/intechopen.72465. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/kalman-filters-theory-for-advanced-applications/efficient-matrix-free-ensemble-kalman-filter-implementations-accounting-for-localization" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

137total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Kalman Filters for Reference Current Generation in Shunt Active Power Filter (APF)

By Ahmad Shukri Bin Abu Hasim, Syed Mohd Fairuz Bin Syed Mohd Dardin and Zulkifilie Bin Ibrahim

Related Book

First chapter

Highlighted Aspects From Black Box Fuzzy Modeling For Advanced Control Systems Design

By Ginalber Luiz de Oliveira Serra

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us