A subspace like identification method for large-scale LTI dynamical systems

Baptiste Sinquin, Michel Verhaegen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

This paper will present new developments in the identification of large scale network connected systems in the framework of subspace methods. Special structures based on Kronecker products will be proposed that give rise to bilinear structured low dimensional optimization problem. The problems of interest for these large scale problems are imaging systems where images are blurred by perturbations that are dynamic both in time and space.

Original languageEnglish
Title of host publicationProceedings Signal Processing Symposium (SPSympo 2017)
EditorsK. Kulpa
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5090-6755-8
DOIs
Publication statusPublished - 2017
Event2017 Signal Processing Symposium, SPSympo 2017 - Jachranka, Poland
Duration: 12 Sep 201714 Sep 2017

Conference

Conference2017 Signal Processing Symposium, SPSympo 2017
CountryPoland
CityJachranka
Period12/09/1714/09/17

Keywords

  • bilinear optimization
  • Kronecker product
  • large-scale networks
  • spatial-Temporal modeling
  • subspace identification

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