Robust Input Design for Resonant Systems under Limited a Priori Information

Christian Larsson, Egon Geerardyn, Joannes Schoukens

Research output: Chapter in Book/Report/Conference proceedingConference paper

3 Citations (Scopus)

Abstract

Optimal input design typically depends on the unknown system parameters that need to be identified. In this paper we consider robust input design for resonant systems that may span over a large frequency band. The concept is to use classical D-optimal design combined with a robust excitation signal which guarantees the same estimate variance regardless of resonance frequency. Simulations show that the proposed signal has the desired properties.
Original languageEnglish
Title of host publicationProceedings of the 16th IFAC Symposium on System Identification, Brussels, Belgium, July 11-13, 2012
PublisherElsevier
Pages1611-1616
Number of pages6
ISBN (Print)978-3-902823-06-9
DOIs
Publication statusPublished - 11 Jul 2012
Event16th IFAC Symposium on System Identification (Sysid 2012) - SQUARE Brussels Meeting Center, Brussels, Belgium
Duration: 11 Jul 201213 Jul 2012
http://www.sysid2012.org

Publication series

NameIFAC Proceedings Volumes
PublisherElsevier
Number16
Volume45
ISSN (Electronic)1474-6670

Conference

Conference16th IFAC Symposium on System Identification (Sysid 2012)
Abbreviated titleSysid 2012
CountryBelgium
CityBrussels
Period11/07/1213/07/12
OtherThe scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of application areas. To enhance the applications and industrial perspective of the symposium, participation by authors from industry is particularly encouraged. It is the intention of the organizers to promote SYSID 2012 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas.
Internet address

Keywords

  • Optimal experiment design
  • system identification
  • robustness
  • frequency-response
  • power spectral density

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