6 papers
Data-informativity conditions for structured linear systems with implications for dynamic networks
Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken +3
When estimating a single subsystem (module) in a linear dynamic network with a prediction error method, a data-informativity condition needs to be satisfied for arriving at a consi…
Local module identification in dynamic networks with correlated noise: the full input case
Paul M. J. Van den Hof, Karthik R. Ramaswamy, Arne G. Dankers +1
The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module…
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…