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
dynamics, under the assumption of having disturbances that are uncorrelated over the
different nodes. The conditions typically reflect the selection of a set of node signals that are
taken as predictor inputs in an multiple-input-single-output (MISO) identification setup. In this
paper an extension is made to arrive at an identification setup for the situation that process …

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
dynamics, under the assumption of having disturbances that are uncorrelated over the
different nodes. The conditions typically reflect the selection of a set of node signals that are
taken as predictor inputs in a MISO identification setup. In this paper an extension is made to
arrive at an identification setup for the situation that process noises on the different node …