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 …

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 …

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 …

In this paper an overview is given of some current research activities on the design of high
performance controllers for plants with uncertain dynamics, based on approximate …

A model-based controller generally works better with the model than with the modelled plant
due to the modelling error. This difference between the performances can be made small by …

Many practical applications of control system design based on input-output measurements
permit the repeated application of a system identification procedure operating on closed …

This paper describes a problem formulation and a design algorithm in which system
identification is used to facilitate robust control design of multivariable systems. The method …

The paper presents a model based control design method, which creates conformity
between the control law and the identification criterion. This approach results in a controller …

An overview is given of some current research activities on the design of high-performance
controllers for plants with uncertain dynamics, based on approximate identification and …

A new direct closed-loop identification method only using the plant input/output data
acquired through an output inter-sampling scheme is presented. By taking the faster …