Dynamic networks are interconnected dynamic systems with measured node signals and
dynamic modules reflecting the links between the nodes. We address the problem of …

We study modeling and identification of stationary processes with a spectral density matrix of
low rank. Equivalently, we consider processes having an innovation of reduced dimension …

In dynamic network identification usually the assumption is made that there is a full rank
process noise affecting the network. For large scale networks with many variables this …

Abstract 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 …

Opwarming van de aarde zal gelimiteerd worden door de uitstoot van broeikasgassen te
verminderen. Hierin speelt verdere ontwikkeling van technologiën zoals hernieuwbare …

We study modeling and identification of processes with a spectral density matrix of low rank.
Equivalently, we consider processes having an innovation of reduced dimension for which …

The purpose of system identification is to construct mathematical models of dynamical
system from experimental data. With the current trend of dynamical systems encountered in …

Identifiability of dynamic networks with noisy and noise-free nodes Page 1 Identifiability of
dynamic networks with noisy and noise-free nodes Paul Van den Hof Coworkers: Harm Weerts …