TY - JOUR
T1 - Abstractions of linear dynamic networks for input selection in local module identification
AU - Weerts, Harm H.M.
AU - Linder, Jonas
AU - Enqvist, Martin
AU - Van den Hof, Paul M.J.
PY - 2020/7
Y1 - 2020/7
N2 - In abstractions of linear dynamic networks, selected node signals are removed from the network, while keeping the remaining node signals invariant. The topology and link dynamics, or modules, of an abstracted network will generally be changed compared to the original network. Abstractions of dynamic networks can be used to select an appropriate set of node signals that are to be measured, on the basis of which a particular local module can be estimated. A method is introduced for network abstraction that generalizes previously introduced algorithms, as e.g. immersion and the method of indirect inputs. For this abstraction method it is shown under which conditions on the selected signals a particular module will remain invariant. This leads to sets of conditions on selected measured node variables that allow identification of the target module.
AB - In abstractions of linear dynamic networks, selected node signals are removed from the network, while keeping the remaining node signals invariant. The topology and link dynamics, or modules, of an abstracted network will generally be changed compared to the original network. Abstractions of dynamic networks can be used to select an appropriate set of node signals that are to be measured, on the basis of which a particular local module can be estimated. A method is introduced for network abstraction that generalizes previously introduced algorithms, as e.g. immersion and the method of indirect inputs. For this abstraction method it is shown under which conditions on the selected signals a particular module will remain invariant. This leads to sets of conditions on selected measured node variables that allow identification of the target module.
KW - Closed-loop identification
KW - Dynamic networks
KW - Graph theory
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=85082976002&partnerID=8YFLogxK
U2 - 10.1016/j.automatica.2020.108975
DO - 10.1016/j.automatica.2020.108975
M3 - Article
AN - SCOPUS:85082976002
SN - 0005-1098
VL - 117
JO - Automatica
JF - Automatica
M1 - 108975
ER -