TY - GEN
T1 - Subspace identification of 1D large-scale heterogeneous network
AU - Yu, Chengpu
AU - Verhaegen, Michel
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/4
Y1 - 2017/8/4
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85029901559
U2 - 10.1109/ICCA.2017.8003063
DO - 10.1109/ICCA.2017.8003063
M3 - Conference contribution
AN - SCOPUS:85029901559
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 218
EP - 223
BT - 2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PB - IEEE Computer Society
T2 - 13th IEEE International Conference on Control and Automation, ICCA 2017
Y2 - 3 July 2017 through 6 July 2017
ER -