91 citations · 226 across the 18 of their papers we have counts for
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eess.SY2019★ 1 cited
Bayesian topology identification of linear dynamic networks
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
In networks of dynamic systems, one challenge is to identify the interconnection structure on the basis of measured signals. Inspired by a Bayesian approach in [1], in this paper,…
eess.SY2019★ 16 cited
Abstractions of linear dynamic networks for input selection in local module identification
Harm H. M. Weerts, Jonas Linder, Martin Enqvist +1
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,…