We introduce a data‐driven model order reduction approach that represents an extension of
the Loewner framework for linear and bilinear systems to the case of quadratic‐bilinear (QB) …

The Loewner framework for model reduction is extended to the class of linear switched
systems. One advantage of this framework is that it introduces a trade-off between accuracy …

Circadian rhythmicity, the 24-hour cycle responsive to light and dark, is determined by
periodic oscillations in gene transcription. This phenomenon has broad ramifications in …

The choice of a reference model in data-driven control techniques is a critical step. Indeed, it
should represent the desired closed-loop performances and be achievable by the plant at …

In this article, a direct data-driven design method, based on frequency-domain data, is
proposed. The identification of the plant is skipped and the controller is designed directly …

In this study, we present a purely data-driven method that uses the Loewner framework (LF)
along with nonlinear optimization techniques to infer quadratic with affine control dynamical …

In many applications, no physical description of the plant is easily available and the control
law has to be designed on the basis of input-output measurements only. Two control …

The Loewner framework for model reduction is extended to the class of linear switched
systems. One advantage of this framework is that it introduces a trade-off between accuracy …

Data-driven model reduction in the Loewner framework [5mm] Page 1 Data-driven model
reduction in the Loewner framework Thanos Antoulas Rice University, MPI Magdeburg & …