The accuracy of the system model during the identi cation process for dynamic systems
under closed-loop operation is studied. The simulation results show that most of the model …

An algorithm is presented for identifying a state-space model of linear stochastic systems
operating under known feedback controller. In this algorithm, only the reference input and …

This paper formulates a method to identify the open-loop dynamics of a system operating
under closedloop conditions. The closed-loop excitation data and the feedback dynamics …

Closed-loop identification is essentially needed in control of an unstable plant stabilized by
a feedback controller. A new direct closed-loop identification approach is proposed based …

A nonlinear magnetic suspension system consisting of a mechanical motion and
electromagnetic circuit is considered in this paper. An online algorithm that is used to …

A novel strategy (which we call" minimum model error'* estimation) for postexperiment
optimal state estimation of discretely measured dynamic systems is developed and …

A data-driven controller design procedure is proposed in this paper. The controller is based
on both an estimated plant model and its estimated uncertainty described by an ellipsoid in …

Because of the complexity of future communication and earth observation satellites, health
monitoring of operational spacecraft is crucial. Changes in baseline configuration would …

A system identi cation method to extract the disturbance-free dynamics and the disturbance
effect correctly despite the presence of unknown periodic disturbances is presented. The …

It is necessary to perform the identification experiment of a magnetic levitation system in
closed-loop where the unstable dynamics are stabilized by a feedback controller. However …