Subspace identification of individual systems operating in a network (SI2ON)

Chengpu Yu, Michel Verhaegen

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)
63 Downloads (Pure)


This note studies the identification of individual systems operating in a large-scale distributed network by considering the interconnection signals between neighboring systems to be unmeasurable. The unmeasurable interconnections act as unknown system inputs to the individual systems in a network, which poses a challenge for the identification problem. A subspace identification framework is proposed in this note for the consistent identification of individual systems using only local input and output information. The key step of this identification framework is the accurate estimation of the unknown system inputs of individual systems using local observations. Sufficient identifiability conditions are provided for the proposed identification framework and a simulation example is given to demonstrate its performance.
Original languageEnglish
Pages (from-to)1120-1125
JournalIEEE Transactions on Automatic Control
Volume63 (April 2018)
Issue number4
Publication statusPublished - 2017

Cite this