Subspace identification of 1D large-scale heterogeneous network

Chengpu Yu, Michel Verhaegen

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

Abstract

The identification of a 1D heterogenous network with unmeasurable interconnections between neighboring systems is studied in this paper. For a large-scale networked system, it is usually computationally prohibitive to identify the global system in a centralized manner. To cope with this problem, the local identification of a network using local input-output data is considered in this paper, and a subspace identification method is developed for the identification of individual systems operating in the network. A simulation example is given to validate the proposed identification method.
Original languageEnglish
Title of host publicationProceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA)
EditorsH. Liu, H. Lin
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages218-223
ISBN (Print)978-1-5386-2679-5
DOIs
Publication statusPublished - 2017
EventICCA 2017 13th International Conference on Control & Automation - Ohrid, Macedonia, The Former Yugoslav Republic of
Duration: 3 Jul 20176 Jul 2017

Conference

ConferenceICCA 2017 13th International Conference on Control & Automation
Abbreviated titleICCA 2017
CountryMacedonia, The Former Yugoslav Republic of
CityOhrid
Period3/07/176/07/17

Keywords

  • Estimation
  • Mathematical model
  • Noise measurement
  • Approximation algorithms
  • Instruments
  • Linear systems
  • Matrix decomposition

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  • Cite this

    Yu, C., & Verhaegen, M. (2017). Subspace identification of 1D large-scale heterogeneous network. In H. Liu, & H. Lin (Eds.), Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA) (pp. 218-223). IEEE. https://doi.org/10.1109/ICCA.2017.8003063