… a general framework for subspace identification of systems working in closed loop. Two …
loop subspace theorems, to which they are reduced when there is no controller active in the loop…

… Closed-loop subspace identification of linear systems is of … using measured data, system
identification overcomes some of the … For these reasons, system identification may provide more …

… In this paper, a complete closed-loop subspace identification algorithm is developed using
the parity space with appropriate column weighting. Persistent excitation condition of SIMPCA …

… In this paper, a closed-loop subspace identification approach … it explains why some existing
subspace methods may deliver a … is the solution to open-loop subspace system identification. …

… controller embedded in the closed-loop structure. In practice, … closed-loop subspace system
identification. Motivated by these issues, a subspace-aided closed-loop system identification …

… The problem of identifying a system operating in closed loop … convert the closed loop problem
into an open loop problem [6,… existing subspace methods fail for the case of closed loop …

… in [11] for systems working under open-loop … system identification problem is defined in
Section III. The main contribution of the paper, ie, the description of the open-loop and closedloop …

… identification of linear time-invariant (LTI) systems operating in a closedloop with an LTI
compensator to an open-loop multi-inputmulti-output (MIMO) (state space model) identification …

… a first principles development of subspace system identification (ID) using a … subspace ID
of linear dynamic models; and using recent results, it is extended to closed-loop linear systems …

… is to investigate MIMO system identification in closed loop using Subspace Identification
Methods (… Most of the theory on subspace methods assumes that datasets are collected in open-…