Change search
ReferencesLink to record
Permanent link

Direct link
Four Encounters with System Identification
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-9368-3079
2011 (English)In: European Journal of Control, ISSN 0947-3580, E-ISSN 1435-5671, Vol. 17, no 5-6, 449-471 p.Article in journal (Refereed) Published
Abstract [en]

Model-based engineering becomes more and more important in industrial practice. System identification is a vital technology for producing the necessary models, and has been an active area of research and applications in the automatic control community during half a century. At the same time, increasing demands require the area to constantly develop and sharpen its tools. This paper deals with how system identification does that by amalgamating concepts, features and methods from other fields. It describes encounters with four areas in systems theory and engineering: Networked Systems, Particle Filtering Techniques, Sparsity and Compressed Sensing, and Machine Learning. The impacts on System Identification methodology by these encounters are described and illustrated.

Place, publisher, year, edition, pages
2011. Vol. 17, no 5-6, 449-471 p.
Keyword [en]
Identification, networks, regularization, machine learning, Lasso
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-61006DOI: 10.3166/EJC.17.449-471ISI: 000298456800002ScopusID: 2-s2.0-84055188727OAI: diva2:478444
EU, European Research Council, 267381

QC 20120116

Available from: 2012-01-16 Created: 2012-01-16 Last updated: 2014-09-09Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Hjalmarsson, Håkan
By organisation
Automatic Control
In the same journal
European Journal of Control
Engineering and Technology

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: 58 hits
ReferencesLink to record
Permanent link

Direct link