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The problem of identifying dynamical models on the basis of measurement data is usually considered in a classical open-loop or closed-loop setting. In this paper this problem is generalized to dynamical systems that operate in a complex interconnection structure and a particular transfer function in the network needs to be identified. It is shown that classical methods of closed-loop identification in the prediction error context, can be generalized to provide consistent model estimates, underdoi:10.1109/cdc.2012.6426840 dblp:conf/cdc/HofDHB12 fatcat:uhthz66b4nhq3mqo7agw4sc3de