PREDICTION ERROR VS SUBSPACE METHODS IN CLOSED LOOP IDENTIFICATION

In this paper we investigate the role of the output predictor in subspace identification. We shall see that subspace identification of the predictor model can ideally yield consistent estimates regardless of the presence of feedback. This solves a longstanding open question in system identification.