5 papers
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,…
Single module identifiability in linear dynamic networks
Harm Weerts, Paul M. J. Van den Hof, Arne Dankers
A recent development in data-driven modelling addresses the problem of identifying dynamic models of interconnected systems, represented as linear dynamic networks. For these netwo…
Prediction error identification of linear dynamic networks with rank-reduced noise
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
Dynamic networks are interconnected dynamic systems with measured node signals and dynamic modules reflecting the links between the nodes. We address the problem of \red{identifyin…
Identification in Dynamic Networks
Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts
System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process indust…
Identifiability of linear dynamic networks
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
Dynamic networks are structured interconnections of dynamical systems (modules) driven by external excitation and disturbance signals. In order to identify their dynamical properti…