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 …

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

For consistent or minimum variance estimation of a single module in a dynamic network, a
predictor model has to be chosen with selected inputs and outputs, composed of a selection …

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 …

For the problem of identifying a target module that is embedded in a dynamic network with
known interconnection structure, different sets of conditions are available for the set of node …

For identification of a single module in a linear dynamic network with correlated
disturbances different meth-ods are available in a prediction error setting. While indirect …

In a dynamic network of interconnected transfer functions, it is not necessary to use all the
node signals for estimating a local transfer function. Given the network topology, detailed …

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 …

Network reconstruction of dynamical continuous-time (CT) systems is motivated by
applications in many fields. Due to experimental limitations, especially in biology, data can …

Recently different identification methods have been developed for identifying a single
module in a dynamic network. In order to select an appropriate predictor model one typically …