In this paper we focus on consistently identifying a transfer function (module) embedded in a dynamic network. When identifying a module embedded in a dynamic network, a critical choice is which variables to include as predictor inputs. In the system identification literature sufficient conditions have been derived. One condition is that there should be no confounding variables. We show that this condition can be relaxed.
|Number of pages||6|
|Publication status||Published - 1 Jul 2017|
|Event||20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France|
Duration: 9 Jul 2017 → 14 Jul 2017
Conference number: 20