Identifiability, ie, uniqueness of a solution of the identification problem, is a fundamental
issue in system identification and data-driven control. Necessary and sufficient identifiability …

Identification of dynamic networks has been a flourishing area in recent years. However,
there are few contributions addressing the problem of simultaneously identifying all modules …

This article addresses the parameter inference problem on dynamical systems in a
cooperative setting. The dynamical systems contain integral action, which is of practical …

Identification of a complete dynamic network affected by sensor noise using the prediction
error method is often too complex. One of the reasons for this complexity is the requirement …

In this thesis, we propose some Bayesian approaches to the identi cation of structured
dynamical systems. In particular, we consider block-oriented models in which a complex …