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Developments towards Formalizing a Benchmark for Continuous-time Model Identification
Off National Etud and Rech Aerosp, France; University of Lorraine, France.
University of Lorraine, France; CNRS, France.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Off National Etud and Rech Aerosp, France.
2016 (English)In: 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE , 2016, 7171-7176 p.Conference paper (Refereed)
Abstract [en]

The identification of continuous-time models of dynamical systems based on sampled measurements of input and output signals is a research topic that has received much attention during the past decades. However, a framework for the correct assessment of the performance of various estimation methods, as well as their numerical reliability, is still missing due to a number of benchmarking difficulties, equally applicable to both discrete-and continuous-time identification problems. This paper revisits this topic, reports new numerical results, highlights several fundamental aspects regarding the definition of an appropriate benchmark for the evaluation of continuous-time linear model identification algorithms and discusses several means of addressing the related existing problems.

Place, publisher, year, edition, pages
IEEE , 2016. 7171-7176 p.
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138332DOI: 10.1109/CDC.2016.7799375ISI: 000400048107061ISBN: 978-1-5090-1837-6 OAI: oai:DiVA.org:liu-138332DiVA: diva2:1109018
Conference
55th IEEE Conference on Decision and Control (CDC)
Note

Funding Agencies|ONERA - The French Aerospace Lab; Universite de Lorraine

Available from: 2017-06-13 Created: 2017-06-13 Last updated: 2017-06-13

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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