Quantification of model uncertainties in closed-loop subspace identification

Subspace methods can be used to identify a state-space model from closed-loop data. However, usually only a nominal estimation is provided. In this paper, a heuristic method is introduced for quantifying model uncertainties in closed-loop subspace identification. The performances of the proposed method are illustrated with a simulation example.