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

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

Yu, C. (TU Delft Team Raf Van de Plas; Beijing Institute of Technology)
Verhaegen, M.H.G. (TU Delft Team Raf Van de Plas)

2017

Abstract:
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.

http://resolver.tudelft.nl/uuid:464cbe0f-ae69-4077-a324-8957e9d4e068

https://doi.org/10.1109/TAC.2017.2739341

0018-9286

IEEE Transactions on Automatic Control, 63 (April 2018) (4), 1120-1125

Accepted Author Manuscript

Institutional Repository

journal article

© 2017 C. Yu, M.H.G. Verhaegen