liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Parameter Estimation for Discrete-Time Nonlinear Systems Using EM
University of Newcastle, Australia.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
University of Newcastle, Australia.
2008 (English)In: Proceedings of the 17th IFAC World Congress, 2008, 4012-4017 p.Conference paper (Refereed)
Abstract [en]

In this paper we consider parameter estimation of general stochastic nonlinear statespace models using the Maximum Likelihood method. This is accomplished via the employment of an Expectation Maximisation algorithm, where the essential components involve a particle smoother for the expectation step, and a gradient-based search for the maximisation step. The utility of this method is illustrated with several nonlinear and non-Gaussian examples.  

Place, publisher, year, edition, pages
2008. 4012-4017 p.
Keyword [en]
Nonlinear estimation, Maximum likelihood, System identification, Expectation maximisation
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-44269DOI: 10.3182/20080706-5-KR-1001.00675Local ID: 76146ISBN: 978-3-902661-00-5OAI: diva2:265131
17th IFAC World Congress, Seoul, South Korea, July, 2008
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-02-23

Open Access in DiVA

No full text

Other links

Publisher's full textRelated report

Search in DiVA

By author/editor
Schön, Thomas
By organisation
Automatic ControlThe Institute of Technology
Engineering and TechnologyControl Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 82 hits
ReferencesLink to record
Permanent link

Direct link