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Four Encounters with System Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Royal Institute of Technology, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
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
Hermes Science Publications, 2011. Vol. 17, no 5-6, 449-471 p.
Keyword [en]
Identification, Networks, Regularization, Machine learning, Lasso
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-73741DOI: 10.3166/EJC.17.449-471ISI: 000298456800002OAI: oai:DiVA.org:liu-73741DiVA: diva2:476380
Available from: 2012-01-12 Created: 2012-01-12 Last updated: 2017-12-08

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Ljung, LennartOhlsson, Henrik

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