From data to reduced-order models via generalized balanced truncation

Azka Muji Burohman, Bart Besselink, Jacquelien M. A. Scherpen +1

This paper proposes a data-driven model reduction approach on the basis of noisy data. Firstly, the concept of data reduction is introduced. In particular, we show that the set of…