This article reviews the development of experiment design in the field of identification of
dynamical systems, from the early work of the seventies on input design for open loop …

A key issue in system identification is how to cope with high system complexity. In this
contribution we stress the importance of taking the application into account in order to cope …

The presence of outliers can considerably degrade the performance of linear recursive
algorithms based on the assumptions that measurements have a Gaussian distribution …

For dual-rate state space systems with time-delay, this paper combines the auxiliary model
identification idea with the filtering technique, transforms the state space model into the …

With the development of industry information technology, many modelling methods have
been focusing on the estimation problems of multivariable systems, especially for the …

Abstract Frequency Response Functions (FRFs) are essential in mechatronic systems and
its application ranges from system design and validation to controller design and …

This work studies model-based fault isolation. A method of fault isolation filter design is
developed. The fault to output transfer-function model is obtained using system …

Data informativity is a crucial property to ensure the consistency of the prediction error
estimate. This property has thus been extensively studied in the open-loop and in the closed …

Abstract In Prediction Error identification, to obtain a consistent estimate of the true system, it
is crucial that the input excitation yields informative data with respect to the chosen model …

This paper considers a recently proposed framework for experiment design in system
identification for control. We study model based control design methods, such as Model …